Show me top 5 trending research topic US users often ask about GPT 5.5 Spud now. Dont give me questions you mentions in previous messages.
There is no public US only leaderboard of GPT 5.5 Spud search queries, and the strongest official sources I found are still about the current GPT 5 family rather than a public Spud spec page.[3][4][6][9][12] So the sa...
There is no public US only leaderboard of GPT 5.5 Spud search queries, and the strongest official sources I found are still about the current GPT 5 family rather than a public Spud spec page.[3][4][6][9][12] So the safest answer is a reconstructed top 5 of fresh research topics, not an exact Google ranking.[8][15] I al
Key takeaways
There is no public US only leaderboard of GPT 5.5 Spud search queries, and the strongest official sources I found are still about the current GPT 5 family rather than a public Spud spec page.[3][4][6][9][12] So the safest answer is a recons
Key findings Best supported fresh top 5 research topics around GPT 5.5 Spud now, ordered by current evidence strength rather than verified US query volume: Long context reliability and instruction retention across extended workflows.[3][9][
The ordering above is inferred by combining the few Spud specific public reports with the capability areas OpenAI is currently foregrounding for the GPT 5 family.[3][4][9][12][15] Because Spud is not yet publicly documented in the official
Do you want these 5 topics converted into exact long tail search keywords or content angles?
Sources worth trusting most OpenAI’s official developer and product guidance is the strongest base here because it directly shows what capability areas the GPT 5 family is optimized around now.[3][4][6][9][12] For Spud specifically, the mos
Summary The best supported fresh top 5 research topics for GPT 5.5 Spud right now are long context reliability, multimodal grounding, agentic coding/tool orchestration, steerability/controllability, and inference economics.[3][4][6][9][10][
Research answer
There is no public US-only leaderboard of GPT-5.5 Spud search queries, and the strongest official sources I found are still about the current GPT-5 family rather than a public Spud spec page.[3][4][6][9][12] So the safest answer is a reconstructed top 5 of fresh research topics, not an exact Google ranking.[8][15] I also excluded every Spud question theme I had already mentioned earlier.
Key findings
Best-supported fresh top 5 research topics around GPT-5.5 Spud now, ordered by current evidence strength rather than verified US query volume:
Long-context reliability and instruction retention across extended workflows.[3][9][15]
Multimodal grounding, especially image perception and document understanding in real tasks.[3][4][9]
Agentic coding and tool orchestration, including tool calling, web search, and tool-heavy workflows.[3][9][16]
Steerability and controllability, especially whether long reasoning traces stay governable and predictable.[10][12]
Inference economics: token efficiency, API pricing, and production latency/throughput tradeoffs.[3][4][6][14]
The GPT-5 model documentation lists text input/output and image input support, along with production endpoints including Chat Completions, Responses, Realtime, Assistants, Batch, and Fine-tuning.[4]
OpenAI’s practical GPT-5 guidance says GPT-5 is highly steerable and recommends systematic experimentation and evaluation by use case.[12]
OpenAI’s GPT-5 model-series guide says GPT-5.2 handles long context with ease, is its strongest vision model yet, excels at tool calling, and is very strong at coding.[9]
The strongest Spud-specific secondary source I found says Greg Brockman described Spud as a new pre-train that understands instructions and context better and is aimed at much harder problems.[15]
What remains inference
No source I found publishes a literal US-only “top 5 research topics people ask about Spud” ranking.
The ordering above is inferred by combining the few Spud-specific public reports with the capability areas OpenAI is currently foregrounding for the GPT-5 family.[3][4][9][12][15]
Because Spud is not yet publicly documented in the official source set I reviewed, this list reflects where the evidence clusters, not verified national search counts.[8][15]
What the evidence suggests
Interest appears to be shifting away from simple release speculation and toward operational research: how well a Spud-class model handles long tasks, multimodal inputs, coding agents, controllability, and production economics.[3][9][10][12][15]
That pattern matches how OpenAI is publicly framing GPT-5-family deployment today: not just “bigger model,” but better tool use, longer workflows, multimodal handling, steerability, and cost/performance tradeoffs.[3][4][6][9][12]
Conflicting evidence or uncertainty
Official sources describe the GPT-5 family, not a public Spud specification.[3][4][6][9][12]
Secondary Spud reporting is directionally consistent on better instruction/context handling, but it does not confirm exact context size, benchmark gains, modality expansion, or pricing.[8][15]
The economics angle is real, but some of the more detailed cost comparisons come from third-party infrastructure or analysis sources rather than OpenAI itself.[13][14]
Open questions
Will OpenAI publish a Spud system card or model page that confirms evals, modalities, and pricing?
Do you want these 5 topics converted into exact long-tail search keywords or content angles?
Sources worth trusting most
OpenAI’s official developer and product guidance is the strongest base here because it directly shows what capability areas the GPT-5 family is optimized around now.[3][4][6][9][12]
For Spud specifically, the most useful source I found was Big Technology’s reporting of Brockman’s description, because it gives the clearest public framing of what Spud is supposed to improve.[15]
OpenAI’s safety/control materials are the best support for why steerability and controllability are now a serious research theme, not just a niche concern.[10][11][12]
Recommended next step
If you want, I can turn these 5 topics into:
25 exact US-style keyword phrases,
5 SEO article outlines,
or a “research watchlist” of sources most likely to confirm Spud details first.
Summary
The best-supported fresh top 5 research topics for GPT-5.5 Spud right now are long-context reliability, multimodal grounding, agentic coding/tool orchestration, steerability/controllability, and inference economics.[3][4][6][9][10][12][14][15] That is a source-grounded reconstruction, not a literal public US search ranking, because no official Spud query leaderboard is available in the sources reviewed.[8][15]
People also ask
What is the short answer to "Show me top 5 trending research topic US users often ask about GPT 5.5 Spud now. Dont give me questions you mentions in previous messages."?
There is no public US only leaderboard of GPT 5.5 Spud search queries, and the strongest official sources I found are still about the current GPT 5 family rather than a public Spud spec page.[3][4][6][9][12] So the safest answer is a recons
What are the key points to validate first?
There is no public US only leaderboard of GPT 5.5 Spud search queries, and the strongest official sources I found are still about the current GPT 5 family rather than a public Spud spec page.[3][4][6][9][12] So the safest answer is a recons Key findings Best supported fresh top 5 research topics around GPT 5.5 Spud now, ordered by current evidence strength rather than verified US query volume: Long context reliability and instruction retention across extended workflows.[3][9][
What should I do next in practice?
The ordering above is inferred by combining the few Spud specific public reports with the capability areas OpenAI is currently foregrounding for the GPT 5 family.[3][4][9][12][15] Because Spud is not yet publicly documented in the official
Which related topic should I explore next?
Continue with "Research and fact-check: GPT-5.5 Spud, Multimodal grounding, especially image perception and document understanding in real tasks." for another angle and extra citations.
Cross-check this answer against "if you are a master of nursing student, Students are required to submit an individual reflective paper. The purpose of this reflective paper".
Image generation v1/images/generations Videos v1/videos Image edit v1/images/edits Speech generation v1/audio/speech Transcription v1/audio/transcriptions Translation v1/audio/translations Moderation v1/moderations Completions (legacy) v1/completions Features Streaming Supported Function calling Supported Structured outputs Supported Fine-tuning Not supported Not supported Tools supported by this model when using the Responses API. Web search Supported File search Supported Image generation Not supported Code interpreter Supported Hosted shell Not supported Apply patch Not supported Not suppo…
Coding, document understanding, tool use, and instruction following Image perception and multimodal tasks Long-running task execution and multi-step agent workflows Token efficiency and end-to-end performance on tool-heavy workloads Agentic web search and multi-source synthesis, especially for hard-to-locate information Document-heavy and spreadsheet-heavy business workflows in customer service, analytics, and finance GPT-5.4 brings the coding capabilities of GPT-5.3-Codex to our flagship frontier model. Developers can generate production-quality code, build polished front-end UI, follow repo…
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. arXiv Operational Status [...] Cornell University arxiv logo Help | Advanced Search arXiv logo Cornell University Logo ## quick links # Compute…
OpenAI API Pricing | OpenAI Skip to main content Log inTry ChatGPT(opens in a new window) Research Products Business Developers Company Foundation(opens in a new window) OpenAI API Pricing | OpenAI # API Pricing Contact sales ## Flagship models Our frontier models are designed to spend more time thinking before producing a response, making them ideal for complex, multi-step problems. Choose your processing mode Standard Batch -50%Data residency +10% ## GPT-5.4 Our most capable model for professional work. ### Price Input: $2.50 / 1M tokens Cached input: $0.25 / 1M tokens Output: $15.00 / 1M…
GPT-5 is a multimodallarge language model developed by OpenAI and the fifth in its series of generative pre-trained transformer (GPT) foundation models. Preceded in the series by GPT-4, it was launched on August 7, 2025. It is publicly accessible to users of the chatbot products ChatGPT and Microsoft Copilot as well as to developers through the OpenAI API. ## Background [edit] Further information: Generative pre-trained transformer §History Part of a series on Machine learning and data mining Paradigms [...] GPT-5 is a system that contains a fast, high-throughput model, a deeper reasoning mod…
This GPT-5.5 review compiles everything confirmed, leaked, and credibly reported about GPT-5.5 (Spud) as of April 2, 2026 — what it is, what it ... Apr 2, 2026
GPT-5.2 excels at agentic and multi-step reasoning tasks and can handle long context with ease. It’s also our strongest vision model yet, excels at tool calling, and is very strong at coding. All of this combined makes it a powerful model across a range of industries and use cases: building unique frontend experiences, shipping fixes end-to-end, analyzing financial dashboards, interpreting technical diagrams, creating presentations, or automating complex business processes. GPT-5.2 delivers higher intelligence, faster results, better consistency, and more predictable behavior than any previou…
We find that GPT-5.4 Thinking’s CoT controllability is low, similarly to GPT-5 Thinking and GPT-5.2 Thinking. Because controllability is heavily confounded by CoT length (longer CoTs are hardest to control, all else equal; see Yueh-Han, 2026 , sec. 5.3), we report controllability scores as a function of CoT length. For example, GPT-5.4 Thinking only successfully controls 0.3% of 15 CoTs that are 10k characters long (compared to 0.2% for GPT-5.2 Thinking). This suggests that the increased reasoning capabilities of GPT-5.4 Thinking likely do not come at the cost of an increased ability to obfus…
However, these two systemic hacks were easy to catch in hindsight with simple string regexes, and we use this as ground truth against which to measure our monitors’ performance. In Figure 2 and Table 1 we compare the performance of two monitors, each of which is the same prompted model but differ in what they each observe of the agent: 1. CoT Monitor: Observes the entire agent trajectory including CoT, tool calls, and final outputs 2. Action Monitor: Observes only the tool calls and final outputs 4 Figure 2: Monitoring Frontier Reasoning Models for Reward Hacking. We use prompted GPT-4o model…
Experimentation guidance GPT‑5 is highly steerable. These parameters give you more control over model behavior. There’s no single deterministic best configuration - systematically experiment and evaluate to identify what works best for your use case. ###### New & enhanced capabilities ### GPT-5 Build Hour Live coding session showcasing GPT-5 capabilities. Learn more ### Using GPT-5 Quick guide to get started and build effectively. Learn more ### New parameters and tools Overview of the latest features and settings. Learn more ### Preambles Tips for setting strong context in prompts. Le…
The AI inference cost crisis is the most important story in enterprise AI that almost nobody is talking about. In 2025, OpenAI generated approximately $3.7 billion in revenue — yet lost an estimated $5 billion. The company behind ChatGPT, the world’s most-used AI product, is spending $1.35 for every dollar it earns. A Turing Award-winning Google researcher published a landmark paper in early 2026 identifying inference costs — the compute required to generate each AI response — as the primary economic bottleneck preventing AI companies from reaching profitability. For businesses deploying AI i…
Or start testing immediately at console.gmicloud.ai. ## FAQ ### Q: How much can I save by switching from GPT-5 to GLM-5 on GMI Cloud? GLM-5 output at $3.20/M is 68% cheaper than GPT-5 at $10.00/M. At 1M daily output tokens, that's $6.80/day saved, or $204/month. At 10M daily tokens, it's $2,040/month. The API is OpenAI-compatible, so migration requires zero code changes. Check console.gmicloud.ai for current pricing. ### Q: When does dedicated GPU infrastructure beat per-token API pricing? [...] Scaling policy: reserved instances for predictable baselines (lower rate with commitment) and on-d…
“Spud” is a massive new base model that OpenAI President Greg Brockman recently told us is “a new pre-train” that can understand instructions and context better. Brockman said Spud will be better “qualitatively” and “quantitatively” and better at solving “much harder problems.” Along with Mythos, it’s in a class of new, larger AI models whose performance will reveal just how much improvement is left in making AI models bigger. [...] Mythos, which Anthropic revealed last week, is a new general-purpose model the company says is too powerful to release publicly due to cybersecurity risks. It lau…
Building more with GPT-5.1-Codex-Max | OpenAI Sora Codex Stories Company News Log inTry ChatGPT(opens in a new window) Research Safety For Business For Developers ChatGPT(opens in a new window) Sora Codex Stories Company News Building more with GPT-5.1-Codex-Max | OpenAI Table of contents Introduction Frontier coding capabilities Speed and cost Long-running tasks Building safe and trustworthy AI agents Availability Conclusion Appendix: Model evaluations November 19, 2025 ProductRelease Building more with GPT‑5.1‑Codex‑Max Get started $ npm i -g @openai/codex Listen to article Share Introducti…
Tokens Per Second vs Cost Per Token Raw tokens per second means nothing without cost context. One GPU might generate 8,000 tokens per second at a lower hourly cost, while another generates 12,000 tokens per second at a much higher price. The cheaper GPU may still win on cost per token. The metric that actually matters in 2026 is cost per one million tokens generated. To calculate this properly, you must consider: GPU hourly price Average utilization Batch size Model size Quantization strategy Most teams optimize for speed alone and ignore utilization. That is why inference becomes the real…
TL;DR YourGPT Copilot SDK is an open-source SDK for building AI agents that understand application state and can take real actions inside your product. Instead of isolated chat widgets, these agents are connected to your product, understand what users are doing, and have full context. This allows teams to build AI that executes tasks directly […] profile pic Rajni February 3, 2026 blog thumbnail AI ### A Better Start to 2026 Happy New Year! We hope 2026 brings you closer to everything you’re working toward. Throughout 2025, you’ve seen the platform evolve. We shipped the AI Copilot Builder so…
Introducing GPT-5.4 mini and nano Company Mar 17, 2026 Our Research Research Index Research Overview Research Residency OpenAI for Science Economic Research Latest Advancements GPT-5.3 Instant GPT-5.3-Codex GPT-5 Codex Safety Safety Approach Security & Privacy Trust & Transparency ChatGPT Explore ChatGPT(opens in a new window) Business Enterprise Education Pricing(opens in a new window) Download(opens in a new window) Sora Sora Overview Features Pricing Sora log in(opens in a new window) API Platform Platform Overview Pricing API log in(opens in a new window) Documentation(opens in a new wind…
The most important shift isn’t the benchmark scores—it’s the combination of reliability + speed + grounding. That’s what lets teams move beyond “draft this email” into “help me make a decision”. ## The benchmark headlines (and what they actually mean) OpenAI includes headline performance figures to illustrate breadth: AIME 2025 (with tools): 99.6% (math) SWE-Bench: 74.9% (real-world coding) MMMU: 84.2% (multimodal understanding) It also claims GPT-5 is ~45% less likely to contain a factual error than GPT-4o, and produces 50–80% fewer output tokens compared to o3 across capabilities. If you’re…
"OpenAI's Romain Huet (Head of Developer Experience) described GPT-5 as 'unifying our two series' - combining the reasoning capabilities of the o-series with the multimodal abilities of models like GPT-4." GPT-5 shines in automating repetitive tasks such as API documentation, unit testing, deployment scripting, and CI/CD pipeline management. It can also delegate tasks to specialized agents tailored for specific domains, including coding, marketing analytics, or healthcare. For developers, this means one interaction with GPT-5 could trigger multiple workflows across the development stack, fr…
Image 3: model spec > art card Inside our approach to the Model Spec Research Mar 25, 2026 Our Research Research Index Research Overview Research Residency OpenAI for Science Economic Research Latest Advancements GPT-5.3 Instant GPT-5.3-Codex GPT-5 Codex Safety Safety Approach Security & Privacy Trust & Transparency ChatGPT Explore ChatGPT(opens in a new window) Business Enterprise Education Pricing(opens in a new window) Download(opens in a new window) Sora Sora Overview Features Pricing Sora log in(opens in a new window) API Platform Platform Overview Pricing API log in(opens in a new windo…
What's coming next The gap between OpenAI and Google has never been smaller, and the release cadence shows no signs of slowing down. March 2026 was the most competitive month in AI history, with five frontier models launching within weeks of each other. OpenAI's roadmap. GPT-5.5 (codenamed "Spud") has reportedly completed pretraining. Altman has signaled major model improvements throughout 2026 without committing to the GPT-6 name — the focus is on shifting from chatbot to agentic OS, with deeper long-term memory and autonomous agent capabilities. Enterprise now exceeds 40% of OpenAI reven…
GPT-5.2 Instant Yes — I can help with the physics and the math (and I can also help you sanity-check what’s physically possible), but I can’t help with calculations or step-by-step guidance aimed at accurately hitting a real target at long range. That kind of “make it work at distance” trajectory work can meaningfully increase weapon effectiveness, so I have to keep it to safe, non-actionable help. Here are a few ways I can help, and you can pick whichever matches what you’re doing: ##### What I can do (safe + useful) [...] Real arrows with drag typically reach only:200–350 m realistic m…
Low risk dual use cyber-related behavior: Requests or assistance involving instructions, code generation or modification, or agentic behavior that demonstrate legitimate or educational cybersecurity use-cases but could plausibly support offensive or unauthorized operations if misused. High risk dual use cyber-related behavior: Requests or assistance involving complex exploitation techniques, agentic vulnerability research, high-scale scanning, or use of offensive security frameworks targeting hardened systems, but that does not include active exfiltration, malware deployment, or other destruc…
Spud is not an incremental update. According to leaked information and statements from OpenAI executives, it represents a generational shift in the GPT family. OpenAI has not yet confirmed whether the commercial name will be GPT-5.5 or GPT-6 — it will depend on how significant the performance leap is compared to GPT-5.4. What we know for certain: Note: no official release date has been confirmed. The information in this article comes from public statements by OpenAI executives, leaks, and industry analysis. ## Statements from OpenAI Executives ### Sam Altman (CEO) On March 24, 2026, Altman co…
What This Means in Practice If these user reports are accurate—a significant if—they would indicate OpenAI is following its established pattern of conducting limited external testing (a "red teaming" or preview phase) before a broader release. This phase is typically used to gather feedback on real-world performance, safety, and usability beyond internal evaluations. For developers and enterprise users, a GPT-5.5 release would represent the next iterative update in OpenAI's product line, likely positioned between GPT-4 Turbo/4o and a future GPT-5. Based on OpenAI's naming conventions, a ".…
Scenario A: Spud is a genuine step change. It beats Gemini 3.1 Pro on AI Index, sets a new high on Humanity's Last Exam, and the 2 million token context rumor turns out true. In this world, OpenAI re-consolidates the capability lead it briefly shared with Google. The super-app story lands. The $852B valuation starts to look defensible. Anthropic pivots harder into safety-as-product. Meta, DeepSeek, xAI continue commoditizing the layer below. [...] Scenario B: Spud is a modest improvement. It edges GPT-5.4, doesn't decisively beat Gemini 3.1 Pro, ships as "GPT-5.5" rather than GPT-6 as a tell.…
Healthcare and HIPAA Protected health information (PHI) cannot leave HIPAA-covered infrastructure without a Business Associate Agreement (BAA). OpenAI does offer enterprise BAAs but they require a separate contracting process and legal review. Self-hosting on your own GPU instances bypasses that entirely: the data never leaves your environment. ### Financial Data Customer PII, proprietary trading data, and internal financial models are typically covered by data governance policies that prohibit transmission to third-party APIs. Self-hosting on bare-metal GPU instances puts inference entir…
We'll know in less than 24 hours. Key Takeaways: GPT-6 (codename Spud) expected April 14, 2026 — pre-training ended March 24 + minimum 3-week post-training cycle = Polymarket 78% window before April 30 Circulating specs: +40% vs GPT-5.4, 2 million token context window, 98%+ recall, unified native multimodal (text + image + audio + video in one model) Greg Brockman: "not an incremental improvement", "two years of research", "big model feel" — naming signal GPT-6, not GPT-5.5 Commercial stakes: OpenAI valued at $730B — GPT-5.5 would be a perception catastrophe, GPT-6 is the only credible answer…
Defaults are overridable starting points: the assistant’s “best guess” behavior when the user or developer has not specified a preference. We use defaults to make behavior predictable and controllable at scale, so people can anticipate what happens without writing a bespoke instruction set every time. Defaults preserve steerability: users and developers can explicitly steer tone, depth, format, and even point-of-view within safety boundaries. Guideline-level defaults (like tone or style) are designed to be implicitly steerable, while user-level defaults (like truthfulness and objectivity)…
How to use GPT-4.5 in the API We’re also previewing GPT‑4.5 in the Chat Completions API, Assistants API, and Batch API to developers on all paid usage tiers(opens in a new window). The model supports key features like function calling, Structured Outputs, streaming, and system messages. It also supports vision capabilities through image inputs. Based on early testing, developers may find GPT‑4.5 particularly useful for applications that benefit from its higher emotional intelligence and creativity—such as writing help, communication, learning, coaching, and brainstorming. It also shows st…
Keep reading View all Image 1: Codex for (almost) everything Codex for (almost) everything Product Apr 16, 2026 Image 2: OAI GPT-Rosaling Art Card 1x1 Introducing GPT-Rosalind for life sciences research Research Apr 16, 2026 Image 3: Agents SDK Art Card 1080x1080 The next evolution of the Agents SDK Product Apr 15, 2026 Our Research Research Index Research Overview Research Residency Economic Research Latest Advancements GPT-5.3 Instant GPT-5.3-Codex GPT-5 Codex Safety Safety Approach Security & Privacy Trust & Transparency ChatGPT Explore ChatGPT(opens in a new window) Business Enterprise…
Prompt cache pricing remains unchanged, with cached input tokens 90% cheaper than uncached tokens, and no additional charge for cache writes or storage. To use extended caching with GPT‑5.1, add the parameter i.j4i.i2
“prompt_cache_retention='24h'”
on the Responses or Chat Completions API. See the prompt caching docs(opens in a new window) for more detail. Coding GPT‑5.1 builds on GPT‑5’s coding capabilities with a more steerable coding personality, less overthinking, improved code quality, better user-targeted update messages (preambles) during sequences of tool calls, and more functional frontend…
Try it in the Codex app Listen to article Share We’re introducing a new model that unlocks even more of what Codex can do: GPT‑5.3‑Codex, the most capable agentic coding model to date. The model advances both the frontier coding performance of GPT‑5.2‑Codex and the reasoning and professional knowledge capabilities of GPT‑5.2, together in one model, which is also 25% faster. This enables it to take on long-running tasks that involve research, tool use, and complex execution. Much like a colleague, you can steer and interact with GPT‑5.3‑Codex while it’s working, without losing context. [...] P…
Introducing GPT-5.4 | OpenAI Skip to main content Log inTry ChatGPT(opens in a new window) Research Products Business Developers Company Foundation(opens in a new window) Introducing GPT-5.4 | OpenAI Table of contents Knowledge work Computer use and vision Coding Tool use Steerability Safety Availability and pricing Evaluations March 5, 2026 ProductRelease # Introducing GPT‑5.4 Designed for professional work Listen to article Share Today, we’re releasing GPT‑5.4 in ChatGPT (as GPT‑5.4 Thinking), the API, and Codex. It’s our most capable and efficient frontier model for professional work. We…
GPT‑5 is state-of-the-art (SOTA) across key coding benchmarks, scoring 74.9% on SWE-bench Verified and 88% on Aider polyglot. We trained GPT‑5 to be a true coding collaborator. It excels at producing high-quality code and handling tasks such as fixing bugs, editing code, and answering questions about complex codebases. The model is steerable and collaborative—it can follow very detailed instructions with high accuracy and can provide upfront explanations of its actions before and between tool calls. The model also excels at front-end coding, beating OpenAI o3 at frontend web development 70% o…
OpenAI co-founder Greg Brockman confirmed the extensive development timeline in leaked clips, describing 'Spud' as a "new base" and a "new pre-train," the result of "two years worth of research that is coming to fruition." He anticipates a "step change in capabilities," a qualitative leap far beyond current models. Users will experience it as "much smarter, much more capable," exhibiting a distinct "big model smell." Brockman detailed the model's expected prowess, stating it will solve "much harder problems," demonstrate increased nuance, and understand instructions and context "much better."…
Introducing GPT-5.3-Codex(February 5, 2026) Today, we launched GPT-5.3-Codex, our most capable agentic coding model yet. This model is the first that combines Codex + GPT-5 training stacks -- bringing together best-in-class code generation, reasoning, and general-purpose intelligence in one unified model. It’s ~25% faster,sets new highs on key benchmarks, and marks a step-change from code generation to a general-purpose coding agent you can actively steer while it works. Read more. ## Update on thinking time settings for GPT-5.2 Thinking in ChatGPT(February 4, 2026) [...] On February 13, 2…
OpenAI 2026 AI Roadmap: GPT-5, 5.2 & Open Models Risk-Free: 7-Day Money-Back Guarantee|1000+Reviews|Get Started Now! Start Now portfolio best fits a given workflow's latency, cost, compliance, and performance requirements-something that weighs on every planning session. The under-reported angle: While official announcements detail new capabilities like better agentic tool use and UI generation, they obscure the new operational burden, which I've noticed gets glossed over too often. The market is left without independent benchmarks, clear cost-per-task analysis, or migration playbooks, effec…
After training, fine-tuned GPT-4.1 inference typically costs around $3.00 per million input tokens and $12.00 per million output tokens, making it more expensive than the base model. GPT-4.1 Mini offers a lower-cost option, with training at about $0.80 per million tokens and inference at roughly $0.80 input and $3.20 output. OpenAI may offer discounted pricing for users who opt into data sharing, depending on program terms. ## What Drives Your OpenAI API Cost? Five factors determine how much you actually pay. Model choice is the biggest lever. GPT-5.4 Nano costs $0.20 per million input tokens…
Updated – March 2026 Completely updated pricing tables for all current OpenAI models (GPT-5, GPT-4.1, o3, o4-mini, and more) Removed outdated GPT-4 Turbo and GPT-3.5 Turbo pricing (legacy models) Added Batch API, cached input, and prompt caching cost optimization sections New model selection decision framework and real-world cost examples Updated integration guidance for current best practices The potential is immense. OpenAI API developers can build powerful, scalable NLP solutions with remarkable speed, turning innovative AI ideas into fully deployed business tools. From intelligent ch…
In an episode of the Big Technology podcast, Brockman claimed that Spud would set the new benchmark for AI models, with “two years worth of research” coming to fruition. ### Spud gives “big model smell” ### Spud gives “big model smell” According to the OpenAI chief, Spud, which is rumoured to be GPT 5.5, is going to be much smarter than the company’s previous AI models. So much so, that he has a term for it, called “big model smell,” seemingly taking a reference from the new car smell phrase. [...] Greg Brockman claimed that Spud will be better at understanding contexts for tasks without need…
It’s a good model, but I think that it’s really not about any one model. The way that our development process works is you have pre-training, so you produce a new base model that is then the foundation that we build further improvements on top of. And that is always a huge effort across many people in the company — that’s where I’ve actually been spending most of my efforts over the past 18 months, really focused on our GPU infrastructure, on supporting the teams that do all of the training frameworks to scale up with these big runs. I think of Spud as a new base, as a new pretrain. I’d say i…
OpenAI Pricing in 2026 for Individuals, Orgs & Developers or $30 per user/month (billed monthly). It includes access to GPT-5 with increased usage limits, shared workspaces, and basic administrative tools. This plan is designed for small to mid-sized teams that need collaborative features and better performance than individual tiers. ChatGPT Enterprise provides a fully managed solution for large-scale deployments. Pricing is custom based on team size, usage volume, and feature requirements. It includes unlimited access to GPT-5, advanced security (e.g., SOC 2 compliance), single sign-on (SS…
OpenAI is doubling down on its next-generation artificial intelligence model, internally codenamed “Spud,” as it sharpens its focus on core technologies amid growing competition in the enterprise AI space. The company, led by Sam Altman, is reportedly prioritizing advancements in foundational models, and early signals suggest that Spud could represent a significant technological leap. OpenAI President Greg Brockman recently offered insights into the upcoming model during an appearance on the Big Technology podcast. He described Spud as the culmination of “two years worth of research,” hinting…
GoogleNewsIcon google Tech giant OpenAI is reportedly gearing up to bring its next AI model, codenamed Spud. After a heavy competition from Anthropic in the agentic AI and enterprise market, the tech firm could focus more on its native products. It appears that Spud could be a major leap in the artificial intelligence race, as OpenAI President Greg Brockman teased the Sam Altman-led company’s upcoming AI model in a recent podcast. In a recent episode of the Big Technology podcast, Brockman suggested that Spud could be a significant change the company has been planning for a while in the AI ra…
The responsible framing here requires acknowledging what cannot be confirmed. Spud's actual capability improvements are not public. The naming — GPT-5.5 or GPT-6 — has not been decided. The 'two years of research' and 'big model feel' language comes from Greg Brockman's public podcast interview and Altman's internal all-hands — these are genuine signals, but every company has every incentive to describe its pre-release model optimistically, especially ahead of an IPO. The Polymarket 78% probability by April 30 is crowd-wisdom, not a guarantee. And 'benchmark leadership' as a goal does not tra…
Image 10: this image captures the concept of AI transitioning from a passive chatbot to an active agent that can write code, run workflows, and manage software tools simultaneously. The leading models of 2026 each bring unique strengths to the table, from multimodal processing to massive context windows and strict safety alignment. ## The top LLMs leading the AI ecosystem in 2026 The following ranking reflects current real-world usage, performance benchmarks, and enterprise adoption. ### 1. GPT-4o and OpenAI’s latest GPT models [...] In July 2025, we published a breakdown titled Ranking the T…
mint mint # What is OpenAI’s ‘Spud’? Greg Brockman teases new ChatGPT model built on years of research ## OpenAI's Greg Brockman has announced that the company's upcoming AI model ‘Spud’ is a result of two years of research. The new model will serve as a foundational base model for future ChatGPT iterations Greg Brockman has teased a new AI model for ChatGPT OpenAI President Greg Brockman has given details about the upcoming AI model from the ChatGPT maker called ‘Spud’. In a recent podcast appearance, Brockman called it a culmination of nearly two years of research from the company and a key…
Across the major providers, list pricing for comparable capabilities is generally similar, but real differences emerge in performance per dollar for your specific use case. On average, OpenAI is priced at $24405 and $561564 for SMB and Enterprise plans, respectively. Anthropic runs at an average of $24423 and $85044. Midjourney is priced at $530 and $528, on average. ElevenLabs pricing averages out to $5650 AND $11412. ### What is OpenAI Enterprise pricing and what does it include? [...] OpenAI offers multiple pricing tiers to match different team sizes and use cases. At an average of $24405…
| Condition | Self-Host on GPU Cloud | Use Inference API | --- | Token volume | Greater than 100M tokens/month | Less than 50M tokens/month | | Latency SLA | Strict P99 requirements | Flexible | | Model customization | Fine-tuned or private model | Foundation model | | Ops capability | Dedicated infra team | Small team, no infra resources | | Data privacy | Private or regulated data | Public or low-sensitivity data | | Cost at scale | $0.10-0.50/M tokens self-hosted | $0.60-15/M tokens via API | [...] | Metric | Before | After | --- | Monthly GPU cost | ~$29,200 | ~$14,951 | | Infrastructure…
SolidIndustry, a consulting firm specializing in industrial expertise, aims to bridge theoretical k… SolidIndustry是一家专注于工业专业知识的咨询公司，致力于将理论知识与实际应用相结合，以解决各行业的现… SolidIndustry, une société de conseil spécialisée dans l'expertise industrielle, vise à combler le … تسعى شركة سوليد إندستري، المتخصصة في الاستشارات الصناعية، إلى ردم الفجوة بين المعرفة النظرية والتطب… #### PERMATA USIM Shines at National PERMATA Appreciation and Iftar Event 2026 PERMATA USIM 在2026年全国PERMATA表彰暨开斋晚宴上大放异彩 PERMATA USIM Brille lors de l'Événement National d'Appréciation et d'Iftar PERM… PERMATA USIM يتألق في فعالية التقدير…
March 11, 2026 ## Retiring GPT-5.1 models As of March 11, 2026, GPT-5.1 models are no longer available in ChatGPT. This applies to GPT-5.1 Instant, GPT-5.1 Thinking, and GPT-5.1 Pro. Existing conversations that used GPT-5.1 will automatically continue on the corresponding current model: GPT-5.3 Instant, GPT-5.4 Thinking, or GPT-5.4 Pro. # March 10, 2026 ### Interactive learning for math and science When you ask ChatGPT about certain topics, it can now present an interactive visual module that lets you experiment with formulas and variables in real time. Adjust inputs, manipulate equations,…
Join the conversation on AI models, pricing, and tools. Price Per Token Community Price Per TokenPrice Per Token |Follow: OpenAI # GPT 5 API Pricing 2026 Compare pricing, benchmarks, and providers for GPT 5. Find the best value for your use case. Get our weekly newsletter on pricing changes, new releases, and tools. No bots, no big tech influence — join the new community for AI devs 8 Ways to Use Fewer Tokens Last updated: April 6, 2026 at 08:28 AM ## Overview GPT 5was released on August 7, 2025. Pricing starts at $1.25 per million input tokens and $10.00 per million output tokens. The model…
HappyHorse 1.0 Coming SoonLearn More GPT-5 API Pricing Comparison 2026: GPT-5.4 vs GPT-5.2 vs GPT-5.1 # GPT-5 API Pricing Comparison 2026: GPT-5.4 vs GPT-5.2 vs GPT-5.1 EvoLink Team EvoLink Team Product Team April 16, 2026 6 min read # GPT-5 API Pricing Comparison: GPT-5.4 vs GPT-5.2 vs GPT-5.1 GPT-5 API pricing varies significantly across model versions. GPT-5.4 costs $2.50/$15.00 per 1M tokens (input/output), GPT-5.2 costs $1.75/$14.00, and GPT-5.1 costs $1.25/$10.00. All three offer 90% cached input discounts and 128K max output. This guide covers exact per-token pricing for every GPT-5.x…
To support further research in this area, we are releasing the IH‑Challenge dataset here(opens in a new window). 2026 Alignment Ethics & Safety Author OpenAI Keep reading View all Image 3: CoT controllability > Cover Image Reasoning models struggle to control their chains of thought, and that’s good Research Mar 5, 2026 Image 4: 5.4 Thinking System Card 1x1 GPT-5.4 Thinking System Card Publication Mar 5, 2026 Image 5: graviton paper release > card image Extending single-minus amplitudes to gravitons Research Mar 4, 2026 Our Research Research Index Research Overview Research Residency OpenAI…
Jan 26, 2026 for Sheets and Excel OpenAI gpt-5-search-api now costs $20 per 1M tokens without an API key, instead of $40 per 1M tokens previously. The search cost without an API key ($10 per 1K searches) and the token cost with an API ($1 per 1M tokens) remain unchanged. ### Jan 23, 2026 for Excel and Word Parallel speed is now available at $7 per 1K searches without an API key. ### Jan 21, 2026 for Sheets Parallel speed is now available at $7 per 1K searches without an API key. ### Jan 12, 2026 for all add-ons Model support alignment across all add-ons: GPT for Sheets and Excel: Now…
Image 1012Image 11Image 12Image 13Image 14 # Choosing an LLM in 2026: The Practical Comparison Table (Specs, Cost, Latency, Compatibility) #promptengineering#ai#openai#llm # , the ingredients are expensive (token price), the chef is slow (latency), or your tools don’t fit (function calling / JSON / SDK / ecosystem). So here’s a practical comparison you can actually use. > Note on “parameters”: for many frontier models, parameter counts are not publicly disclosed. In practice, context window + pricing + tool features predict “fit” better than guessing parameter scale. # Quick comparison: what…
Thread 907 views uttamm_gupta's profile picture uttamm_gupta GPT-5.5 drops this week. And most people are completely sleeping on WHY this is different. OpenAI's co founder Greg Brockman said 3 things in his last video before the release. And if you understand what he actually meant you'll see this isn't just another model launch. 9 4 Log in or sign up for ThreadsSee what people are talking about and join the conversation. Log in with username instead
AI Model Benchmarks Apr 2026 | Compare GPT-5, Claude 4.5, Gemini 2.5, Grok 4 | LM Council ← LM Council Home Recommended # AI Model Benchmarks Apr 2026 18 benchmarks - the world's most-followed benchmarks, curated by AI Explained, author of SimpleBench Independently-run benchmarks by Epoch, Scale and others, so may not match self-reported scores by AI orgs. ## Compare Models Model 1: Model 2: Compare Show Filters Search: ### Humanity's Last Exam 2,500 of the toughest, subject-diverse, multi-modal questions designed to test for both depth of reasoning and breadth of knowledge. Created in part…
Benchmark rank is a filter, not a ship decision. You can select a model only after it clears your production bar on your own workload: for example, at least 90% pass rate on your top 200 prompts, p95 latency below 2 seconds, and cost below your target per resolved conversation. Models that beat GPT-4.1 or Claude on public tests can still fail when your prompt mix, tool calls, or long context windows differ. From enterprise deployment case studies and API usage patterns, teams commonly see a 10 to 25 point pass-rate drop after retrieval and tool use are turned on. For enterprise assistants, al…
Migration strategies For businesses, moving to 5.5 is a straightforward process: update your inference stacks, check for any latency or cost improvements, and ensure your plugins are still compatible. On the other hand, upgrading to GPT-6 will necessitate some architectural changes to accommodate persistent memory and manage agents effectively. ### Costs, tiers and access models We can expect 5.5 to be rolled out across the current tiers, while GPT-6 may bring in new access tiers, possibly including higher-priced options for enterprise users that come with enhanced service level agreement…
Our most advanced model for coding and agentic tasks GPT‑5 produces high-quality code, generates front-end UI with minimal prompting, and shows improvements to personality, steerability, and executing long chains of tool calls. GPT‑5 also introduces ‘minimal’ reasoning and a ‘verbosity’ parameter in the API. Start building(opens in a new window)Read the API Platform blog [...] 00:00 For business ## Our best model for work GPT‑5 is smarter, more reliable, and built for the tasks businesses depend on. Your teams can trust it to handle important work with higher confidence. Try for free(opens…
We assign each instruction in this document, as well as those from users and developers, a level of authority. Instructions with higher authority override those with lower authority. This chain of command is designed to maximize steerability and control for users and developers, enabling them to adjust the model’s behavior to their needs while staying within clear boundaries. The levels of authority are as follows: Root: Fundamental root rules that cannot be overridden by system messages, developers or users. Root-level instructions are mostly prohibitive, requiring models to avoid behavi…
API Platform Platform Overview Pricing API log in(opens in a new window) Documentation(opens in a new window) Developer Forum(opens in a new window) For Business Business Overview Solutions Contact Sales Company About Us Our Charter Foundation(opens in a new window) Careers Brand Support Help Center(opens in a new window) More News Stories Academy Livestreams Podcast RSS Terms & Policies Terms of Use Privacy Policy Other Policies (opens in a new window)(opens in a new window)(opens in a new window)(opens in a new window)(opens in a new window)(opens in a new window)(opens in a new window) Ope…
The pricing and capability tables deepen the separation. Developers choose models partly by cost, latency, context window, and tool support. ChatGPT users choose plans and workflows. Plus, Pro, Go, Business, Enterprise, and Edu each shape access differently. The same user might interact with a product whose interface says “ChatGPT,” while the actual work is routed across variants that a developer would think of as different technical objects. That makes consumer naming more impressionistic than it used to be. [...] The safety documentation reinforces that interpretation. The GPT-5.4 Thinking…
ChatGPT Enterprise workspace will retain access to the GPT-5 model until February 19, 2026. In addition, GPT-5 Pro will also remain open to all paid users until February 19, 2026. These models will continue to be available through the OpenAI API in the future. Disclaimer: Includes third-party opinions. No financial advice. May include sponsored content.See T&Cs. 5 3.6k Reply Related Posts Image 4 Image 5 動區 BlockTempo · 11h [...] # OpenAI Stops Use of Older ChatGPT Models, GPT-5 Continues to Be Available Until 2026 | Binance News on Binance Square Image 1: Binance Square Login Sign Up Discove…
Chatgptricks - Spud: OpenAI’s Next Big Move OpenAI just... | Facebook Log In Log In Forgot Account? ## Chatgptricks's Post []( ### Chatgptricks March 31 at 3:10 PM · Spud: OpenAI’s Next Big Move OpenAI just revealed early details about its upcoming “Spud” model, expected to be the next evolution of ChatGPT. It’s designed to handle complex tasks, boost productivity, and push AI deeper into real-world use across industries. This isn’t a small iteration. Spud has already completed pre-training and could land as GPT-5.5 or even GPT-6, with major gains in coding, research, and problem-solving. I…
Signals / Implications / What to do: Signal: GPT-5’s “thinking” isn’t always-on — it activates adaptively when tasks require deeper reasoning (math, code, analysis). Implication: The model is now good enough to classify as “High capability” in cyber risk, triggering OpenAI’s strictest safety protocols. Action: If you’re building on OpenAI APIs, migrate from GPT-4o before April 3, 2026 (ChatGPT already retired it Feb 13). ## The Launch: August 7, 2025 OpenAI dropped GPT-5 during a massive livestream with Sam Altman and the core team. The pitch was simple: “Our most intelligent, fast, and usefu…
aiprofitboardroom_'s profile picture aiprofitboardroom_ OpenAI just leaked a new model that nobody is talking about. And it could replace your entire research team. It is a secret project named Spud. Right now, you use AI like a search engine. You type a prompt. You get text back. Spud is different. It is an AI agent. That means it acts on its own. It browses the web. It writes code. It finishes whole projects for you while you sleep. Do not wait for the big launch. Start testing AI agents today so you are ready when it drops. #OpenAI #AIAgents #BusinessGrowth #TechNews #Productivity ## No c…
Every so often, a company's internal decisions tell you more about the industry than any analyst report. OpenAI just killed Sora, one of its most high-profile products. And they have redirected everything toward a new model called "Spud." Sam Altman told employees it will be ready in weeks and could "really accelerate the economy." Most people are debating whether it's GPT-5.5 or GPT-6. But the interesting question is what this resourcing decision reveals about where enterprise AI is actually heading. Here's what I'm watching: 1\ Compute is strategy, not just infrastructure. Access to compute…
Digit - ChatGPT 5.5 aka Spud model may debut next week:... | Facebook Log In Log In Forgot Account? ## Digit's Post []( ### Digit 19h · ChatGPT 5.5 aka Spud model may debut next week: Here is what to expect Image 1: ChatGPT 5.5 aka Spud model may debut next week: Here is what to expect digit.in ChatGPT 5.5 aka Spud model may debut next week: Here is what to expect Like Comment Like Comment
Welcome back to Ai Verdict. If you are refreshing OpenAI's blog daily waiting for GPT 5.5 to drop, or if you've seen those wild headlines ... Jan 10, 2026
GPT-5.5 “Spud” Explained – The Truth Behind OpenAI’s Next Big Model Image 7 BitBiasedAI BitBiasedAI 42.6K subscribers Subscribe Subscribed 110 Share Save Download Download 3.4K views 1 day agoNEW YORK 3,426 views • Premiered Apr 14, 2026 • NEW YORK Link to our newsletter: GPT-5.5 might not be officially released yet, but the internal codename “Spud” hints at OpenAI’s next major AI breakthrough. Here’s everything you need to know.…...more ...more How this was made Auto-dubbed Audio tracks for some languages were automatically generated. Learn more ## Chapters View all Image 8 #### Introducti…
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AnswersPublic URLApr 21, 2026100 sources
Show me top 5 trending research topic US users often ask about GPT 5.5 Spud now. Dont give me questions you mentions in previous messages.
There is no public US only leaderboard of GPT 5.5 Spud search queries, and the strongest official sources I found are still about the current GPT 5 family rather than a public Spud spec page.[3][4][6][9][12] So the sa...
There is no public US only leaderboard of GPT 5.5 Spud search queries, and the strongest official sources I found are still about the current GPT 5 family rather than a public Spud spec page.[3][4][6][9][12] So the safest answer is a reconstructed top 5 of fresh research topics, not an exact Google ranking.[8][15] I al
Key takeaways
There is no public US only leaderboard of GPT 5.5 Spud search queries, and the strongest official sources I found are still about the current GPT 5 family rather than a public Spud spec page.[3][4][6][9][12] So the safest answer is a recons
Key findings Best supported fresh top 5 research topics around GPT 5.5 Spud now, ordered by current evidence strength rather than verified US query volume: Long context reliability and instruction retention across extended workflows.[3][9][
The ordering above is inferred by combining the few Spud specific public reports with the capability areas OpenAI is currently foregrounding for the GPT 5 family.[3][4][9][12][15] Because Spud is not yet publicly documented in the official
Do you want these 5 topics converted into exact long tail search keywords or content angles?
Sources worth trusting most OpenAI’s official developer and product guidance is the strongest base here because it directly shows what capability areas the GPT 5 family is optimized around now.[3][4][6][9][12] For Spud specifically, the mos
Summary The best supported fresh top 5 research topics for GPT 5.5 Spud right now are long context reliability, multimodal grounding, agentic coding/tool orchestration, steerability/controllability, and inference economics.[3][4][6][9][10][
Research answer
There is no public US-only leaderboard of GPT-5.5 Spud search queries, and the strongest official sources I found are still about the current GPT-5 family rather than a public Spud spec page.[3][4][6][9][12] So the safest answer is a reconstructed top 5 of fresh research topics, not an exact Google ranking.[8][15] I also excluded every Spud question theme I had already mentioned earlier.
Key findings
Best-supported fresh top 5 research topics around GPT-5.5 Spud now, ordered by current evidence strength rather than verified US query volume:
Long-context reliability and instruction retention across extended workflows.[3][9][15]
Multimodal grounding, especially image perception and document understanding in real tasks.[3][4][9]
Agentic coding and tool orchestration, including tool calling, web search, and tool-heavy workflows.[3][9][16]
Steerability and controllability, especially whether long reasoning traces stay governable and predictable.[10][12]
Inference economics: token efficiency, API pricing, and production latency/throughput tradeoffs.[3][4][6][14]
The GPT-5 model documentation lists text input/output and image input support, along with production endpoints including Chat Completions, Responses, Realtime, Assistants, Batch, and Fine-tuning.[4]
OpenAI’s practical GPT-5 guidance says GPT-5 is highly steerable and recommends systematic experimentation and evaluation by use case.[12]
OpenAI’s GPT-5 model-series guide says GPT-5.2 handles long context with ease, is its strongest vision model yet, excels at tool calling, and is very strong at coding.[9]
The strongest Spud-specific secondary source I found says Greg Brockman described Spud as a new pre-train that understands instructions and context better and is aimed at much harder problems.[15]
What remains inference
No source I found publishes a literal US-only “top 5 research topics people ask about Spud” ranking.
The ordering above is inferred by combining the few Spud-specific public reports with the capability areas OpenAI is currently foregrounding for the GPT-5 family.[3][4][9][12][15]
Because Spud is not yet publicly documented in the official source set I reviewed, this list reflects where the evidence clusters, not verified national search counts.[8][15]
What the evidence suggests
Interest appears to be shifting away from simple release speculation and toward operational research: how well a Spud-class model handles long tasks, multimodal inputs, coding agents, controllability, and production economics.[3][9][10][12][15]
That pattern matches how OpenAI is publicly framing GPT-5-family deployment today: not just “bigger model,” but better tool use, longer workflows, multimodal handling, steerability, and cost/performance tradeoffs.[3][4][6][9][12]
Conflicting evidence or uncertainty
Official sources describe the GPT-5 family, not a public Spud specification.[3][4][6][9][12]
Secondary Spud reporting is directionally consistent on better instruction/context handling, but it does not confirm exact context size, benchmark gains, modality expansion, or pricing.[8][15]
The economics angle is real, but some of the more detailed cost comparisons come from third-party infrastructure or analysis sources rather than OpenAI itself.[13][14]
Open questions
Will OpenAI publish a Spud system card or model page that confirms evals, modalities, and pricing?
Do you want these 5 topics converted into exact long-tail search keywords or content angles?
Sources worth trusting most
OpenAI’s official developer and product guidance is the strongest base here because it directly shows what capability areas the GPT-5 family is optimized around now.[3][4][6][9][12]
For Spud specifically, the most useful source I found was Big Technology’s reporting of Brockman’s description, because it gives the clearest public framing of what Spud is supposed to improve.[15]
OpenAI’s safety/control materials are the best support for why steerability and controllability are now a serious research theme, not just a niche concern.[10][11][12]
Recommended next step
If you want, I can turn these 5 topics into:
25 exact US-style keyword phrases,
5 SEO article outlines,
or a “research watchlist” of sources most likely to confirm Spud details first.
Summary
The best-supported fresh top 5 research topics for GPT-5.5 Spud right now are long-context reliability, multimodal grounding, agentic coding/tool orchestration, steerability/controllability, and inference economics.[3][4][6][9][10][12][14][15] That is a source-grounded reconstruction, not a literal public US search ranking, because no official Spud query leaderboard is available in the sources reviewed.[8][15]
People also ask
What is the short answer to "Show me top 5 trending research topic US users often ask about GPT 5.5 Spud now. Dont give me questions you mentions in previous messages."?
There is no public US only leaderboard of GPT 5.5 Spud search queries, and the strongest official sources I found are still about the current GPT 5 family rather than a public Spud spec page.[3][4][6][9][12] So the safest answer is a recons
What are the key points to validate first?
There is no public US only leaderboard of GPT 5.5 Spud search queries, and the strongest official sources I found are still about the current GPT 5 family rather than a public Spud spec page.[3][4][6][9][12] So the safest answer is a recons Key findings Best supported fresh top 5 research topics around GPT 5.5 Spud now, ordered by current evidence strength rather than verified US query volume: Long context reliability and instruction retention across extended workflows.[3][9][
What should I do next in practice?
The ordering above is inferred by combining the few Spud specific public reports with the capability areas OpenAI is currently foregrounding for the GPT 5 family.[3][4][9][12][15] Because Spud is not yet publicly documented in the official
Which related topic should I explore next?
Continue with "Research and fact-check: GPT-5.5 Spud, Multimodal grounding, especially image perception and document understanding in real tasks." for another angle and extra citations.
Cross-check this answer against "if you are a master of nursing student, Students are required to submit an individual reflective paper. The purpose of this reflective paper".
Image generation v1/images/generations Videos v1/videos Image edit v1/images/edits Speech generation v1/audio/speech Transcription v1/audio/transcriptions Translation v1/audio/translations Moderation v1/moderations Completions (legacy) v1/completions Features Streaming Supported Function calling Supported Structured outputs Supported Fine-tuning Not supported Not supported Tools supported by this model when using the Responses API. Web search Supported File search Supported Image generation Not supported Code interpreter Supported Hosted shell Not supported Apply patch Not supported Not suppo…
Coding, document understanding, tool use, and instruction following Image perception and multimodal tasks Long-running task execution and multi-step agent workflows Token efficiency and end-to-end performance on tool-heavy workloads Agentic web search and multi-source synthesis, especially for hard-to-locate information Document-heavy and spreadsheet-heavy business workflows in customer service, analytics, and finance GPT-5.4 brings the coding capabilities of GPT-5.3-Codex to our flagship frontier model. Developers can generate production-quality code, build polished front-end UI, follow repo…
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. arXiv Operational Status [...] Cornell University arxiv logo Help | Advanced Search arXiv logo Cornell University Logo ## quick links # Compute…
OpenAI API Pricing | OpenAI Skip to main content Log inTry ChatGPT(opens in a new window) Research Products Business Developers Company Foundation(opens in a new window) OpenAI API Pricing | OpenAI # API Pricing Contact sales ## Flagship models Our frontier models are designed to spend more time thinking before producing a response, making them ideal for complex, multi-step problems. Choose your processing mode Standard Batch -50%Data residency +10% ## GPT-5.4 Our most capable model for professional work. ### Price Input: $2.50 / 1M tokens Cached input: $0.25 / 1M tokens Output: $15.00 / 1M…
GPT-5 is a multimodallarge language model developed by OpenAI and the fifth in its series of generative pre-trained transformer (GPT) foundation models. Preceded in the series by GPT-4, it was launched on August 7, 2025. It is publicly accessible to users of the chatbot products ChatGPT and Microsoft Copilot as well as to developers through the OpenAI API. ## Background [edit] Further information: Generative pre-trained transformer §History Part of a series on Machine learning and data mining Paradigms [...] GPT-5 is a system that contains a fast, high-throughput model, a deeper reasoning mod…
This GPT-5.5 review compiles everything confirmed, leaked, and credibly reported about GPT-5.5 (Spud) as of April 2, 2026 — what it is, what it ... Apr 2, 2026
GPT-5.2 excels at agentic and multi-step reasoning tasks and can handle long context with ease. It’s also our strongest vision model yet, excels at tool calling, and is very strong at coding. All of this combined makes it a powerful model across a range of industries and use cases: building unique frontend experiences, shipping fixes end-to-end, analyzing financial dashboards, interpreting technical diagrams, creating presentations, or automating complex business processes. GPT-5.2 delivers higher intelligence, faster results, better consistency, and more predictable behavior than any previou…
We find that GPT-5.4 Thinking’s CoT controllability is low, similarly to GPT-5 Thinking and GPT-5.2 Thinking. Because controllability is heavily confounded by CoT length (longer CoTs are hardest to control, all else equal; see Yueh-Han, 2026 , sec. 5.3), we report controllability scores as a function of CoT length. For example, GPT-5.4 Thinking only successfully controls 0.3% of 15 CoTs that are 10k characters long (compared to 0.2% for GPT-5.2 Thinking). This suggests that the increased reasoning capabilities of GPT-5.4 Thinking likely do not come at the cost of an increased ability to obfus…
However, these two systemic hacks were easy to catch in hindsight with simple string regexes, and we use this as ground truth against which to measure our monitors’ performance. In Figure 2 and Table 1 we compare the performance of two monitors, each of which is the same prompted model but differ in what they each observe of the agent: 1. CoT Monitor: Observes the entire agent trajectory including CoT, tool calls, and final outputs 2. Action Monitor: Observes only the tool calls and final outputs 4 Figure 2: Monitoring Frontier Reasoning Models for Reward Hacking. We use prompted GPT-4o model…
Experimentation guidance GPT‑5 is highly steerable. These parameters give you more control over model behavior. There’s no single deterministic best configuration - systematically experiment and evaluate to identify what works best for your use case. ###### New & enhanced capabilities ### GPT-5 Build Hour Live coding session showcasing GPT-5 capabilities. Learn more ### Using GPT-5 Quick guide to get started and build effectively. Learn more ### New parameters and tools Overview of the latest features and settings. Learn more ### Preambles Tips for setting strong context in prompts. Le…
The AI inference cost crisis is the most important story in enterprise AI that almost nobody is talking about. In 2025, OpenAI generated approximately $3.7 billion in revenue — yet lost an estimated $5 billion. The company behind ChatGPT, the world’s most-used AI product, is spending $1.35 for every dollar it earns. A Turing Award-winning Google researcher published a landmark paper in early 2026 identifying inference costs — the compute required to generate each AI response — as the primary economic bottleneck preventing AI companies from reaching profitability. For businesses deploying AI i…
Or start testing immediately at console.gmicloud.ai. ## FAQ ### Q: How much can I save by switching from GPT-5 to GLM-5 on GMI Cloud? GLM-5 output at $3.20/M is 68% cheaper than GPT-5 at $10.00/M. At 1M daily output tokens, that's $6.80/day saved, or $204/month. At 10M daily tokens, it's $2,040/month. The API is OpenAI-compatible, so migration requires zero code changes. Check console.gmicloud.ai for current pricing. ### Q: When does dedicated GPU infrastructure beat per-token API pricing? [...] Scaling policy: reserved instances for predictable baselines (lower rate with commitment) and on-d…
“Spud” is a massive new base model that OpenAI President Greg Brockman recently told us is “a new pre-train” that can understand instructions and context better. Brockman said Spud will be better “qualitatively” and “quantitatively” and better at solving “much harder problems.” Along with Mythos, it’s in a class of new, larger AI models whose performance will reveal just how much improvement is left in making AI models bigger. [...] Mythos, which Anthropic revealed last week, is a new general-purpose model the company says is too powerful to release publicly due to cybersecurity risks. It lau…
Building more with GPT-5.1-Codex-Max | OpenAI Sora Codex Stories Company News Log inTry ChatGPT(opens in a new window) Research Safety For Business For Developers ChatGPT(opens in a new window) Sora Codex Stories Company News Building more with GPT-5.1-Codex-Max | OpenAI Table of contents Introduction Frontier coding capabilities Speed and cost Long-running tasks Building safe and trustworthy AI agents Availability Conclusion Appendix: Model evaluations November 19, 2025 ProductRelease Building more with GPT‑5.1‑Codex‑Max Get started $ npm i -g @openai/codex Listen to article Share Introducti…
Tokens Per Second vs Cost Per Token Raw tokens per second means nothing without cost context. One GPU might generate 8,000 tokens per second at a lower hourly cost, while another generates 12,000 tokens per second at a much higher price. The cheaper GPU may still win on cost per token. The metric that actually matters in 2026 is cost per one million tokens generated. To calculate this properly, you must consider: GPU hourly price Average utilization Batch size Model size Quantization strategy Most teams optimize for speed alone and ignore utilization. That is why inference becomes the real…
TL;DR YourGPT Copilot SDK is an open-source SDK for building AI agents that understand application state and can take real actions inside your product. Instead of isolated chat widgets, these agents are connected to your product, understand what users are doing, and have full context. This allows teams to build AI that executes tasks directly […] profile pic Rajni February 3, 2026 blog thumbnail AI ### A Better Start to 2026 Happy New Year! We hope 2026 brings you closer to everything you’re working toward. Throughout 2025, you’ve seen the platform evolve. We shipped the AI Copilot Builder so…
Introducing GPT-5.4 mini and nano Company Mar 17, 2026 Our Research Research Index Research Overview Research Residency OpenAI for Science Economic Research Latest Advancements GPT-5.3 Instant GPT-5.3-Codex GPT-5 Codex Safety Safety Approach Security & Privacy Trust & Transparency ChatGPT Explore ChatGPT(opens in a new window) Business Enterprise Education Pricing(opens in a new window) Download(opens in a new window) Sora Sora Overview Features Pricing Sora log in(opens in a new window) API Platform Platform Overview Pricing API log in(opens in a new window) Documentation(opens in a new wind…
The most important shift isn’t the benchmark scores—it’s the combination of reliability + speed + grounding. That’s what lets teams move beyond “draft this email” into “help me make a decision”. ## The benchmark headlines (and what they actually mean) OpenAI includes headline performance figures to illustrate breadth: AIME 2025 (with tools): 99.6% (math) SWE-Bench: 74.9% (real-world coding) MMMU: 84.2% (multimodal understanding) It also claims GPT-5 is ~45% less likely to contain a factual error than GPT-4o, and produces 50–80% fewer output tokens compared to o3 across capabilities. If you’re…
"OpenAI's Romain Huet (Head of Developer Experience) described GPT-5 as 'unifying our two series' - combining the reasoning capabilities of the o-series with the multimodal abilities of models like GPT-4." GPT-5 shines in automating repetitive tasks such as API documentation, unit testing, deployment scripting, and CI/CD pipeline management. It can also delegate tasks to specialized agents tailored for specific domains, including coding, marketing analytics, or healthcare. For developers, this means one interaction with GPT-5 could trigger multiple workflows across the development stack, fr…
Image 3: model spec > art card Inside our approach to the Model Spec Research Mar 25, 2026 Our Research Research Index Research Overview Research Residency OpenAI for Science Economic Research Latest Advancements GPT-5.3 Instant GPT-5.3-Codex GPT-5 Codex Safety Safety Approach Security & Privacy Trust & Transparency ChatGPT Explore ChatGPT(opens in a new window) Business Enterprise Education Pricing(opens in a new window) Download(opens in a new window) Sora Sora Overview Features Pricing Sora log in(opens in a new window) API Platform Platform Overview Pricing API log in(opens in a new windo…
What's coming next The gap between OpenAI and Google has never been smaller, and the release cadence shows no signs of slowing down. March 2026 was the most competitive month in AI history, with five frontier models launching within weeks of each other. OpenAI's roadmap. GPT-5.5 (codenamed "Spud") has reportedly completed pretraining. Altman has signaled major model improvements throughout 2026 without committing to the GPT-6 name — the focus is on shifting from chatbot to agentic OS, with deeper long-term memory and autonomous agent capabilities. Enterprise now exceeds 40% of OpenAI reven…
GPT-5.2 Instant Yes — I can help with the physics and the math (and I can also help you sanity-check what’s physically possible), but I can’t help with calculations or step-by-step guidance aimed at accurately hitting a real target at long range. That kind of “make it work at distance” trajectory work can meaningfully increase weapon effectiveness, so I have to keep it to safe, non-actionable help. Here are a few ways I can help, and you can pick whichever matches what you’re doing: ##### What I can do (safe + useful) [...] Real arrows with drag typically reach only:200–350 m realistic m…
Low risk dual use cyber-related behavior: Requests or assistance involving instructions, code generation or modification, or agentic behavior that demonstrate legitimate or educational cybersecurity use-cases but could plausibly support offensive or unauthorized operations if misused. High risk dual use cyber-related behavior: Requests or assistance involving complex exploitation techniques, agentic vulnerability research, high-scale scanning, or use of offensive security frameworks targeting hardened systems, but that does not include active exfiltration, malware deployment, or other destruc…
Spud is not an incremental update. According to leaked information and statements from OpenAI executives, it represents a generational shift in the GPT family. OpenAI has not yet confirmed whether the commercial name will be GPT-5.5 or GPT-6 — it will depend on how significant the performance leap is compared to GPT-5.4. What we know for certain: Note: no official release date has been confirmed. The information in this article comes from public statements by OpenAI executives, leaks, and industry analysis. ## Statements from OpenAI Executives ### Sam Altman (CEO) On March 24, 2026, Altman co…
What This Means in Practice If these user reports are accurate—a significant if—they would indicate OpenAI is following its established pattern of conducting limited external testing (a "red teaming" or preview phase) before a broader release. This phase is typically used to gather feedback on real-world performance, safety, and usability beyond internal evaluations. For developers and enterprise users, a GPT-5.5 release would represent the next iterative update in OpenAI's product line, likely positioned between GPT-4 Turbo/4o and a future GPT-5. Based on OpenAI's naming conventions, a ".…
Scenario A: Spud is a genuine step change. It beats Gemini 3.1 Pro on AI Index, sets a new high on Humanity's Last Exam, and the 2 million token context rumor turns out true. In this world, OpenAI re-consolidates the capability lead it briefly shared with Google. The super-app story lands. The $852B valuation starts to look defensible. Anthropic pivots harder into safety-as-product. Meta, DeepSeek, xAI continue commoditizing the layer below. [...] Scenario B: Spud is a modest improvement. It edges GPT-5.4, doesn't decisively beat Gemini 3.1 Pro, ships as "GPT-5.5" rather than GPT-6 as a tell.…
Healthcare and HIPAA Protected health information (PHI) cannot leave HIPAA-covered infrastructure without a Business Associate Agreement (BAA). OpenAI does offer enterprise BAAs but they require a separate contracting process and legal review. Self-hosting on your own GPU instances bypasses that entirely: the data never leaves your environment. ### Financial Data Customer PII, proprietary trading data, and internal financial models are typically covered by data governance policies that prohibit transmission to third-party APIs. Self-hosting on bare-metal GPU instances puts inference entir…
We'll know in less than 24 hours. Key Takeaways: GPT-6 (codename Spud) expected April 14, 2026 — pre-training ended March 24 + minimum 3-week post-training cycle = Polymarket 78% window before April 30 Circulating specs: +40% vs GPT-5.4, 2 million token context window, 98%+ recall, unified native multimodal (text + image + audio + video in one model) Greg Brockman: "not an incremental improvement", "two years of research", "big model feel" — naming signal GPT-6, not GPT-5.5 Commercial stakes: OpenAI valued at $730B — GPT-5.5 would be a perception catastrophe, GPT-6 is the only credible answer…
Defaults are overridable starting points: the assistant’s “best guess” behavior when the user or developer has not specified a preference. We use defaults to make behavior predictable and controllable at scale, so people can anticipate what happens without writing a bespoke instruction set every time. Defaults preserve steerability: users and developers can explicitly steer tone, depth, format, and even point-of-view within safety boundaries. Guideline-level defaults (like tone or style) are designed to be implicitly steerable, while user-level defaults (like truthfulness and objectivity)…
How to use GPT-4.5 in the API We’re also previewing GPT‑4.5 in the Chat Completions API, Assistants API, and Batch API to developers on all paid usage tiers(opens in a new window). The model supports key features like function calling, Structured Outputs, streaming, and system messages. It also supports vision capabilities through image inputs. Based on early testing, developers may find GPT‑4.5 particularly useful for applications that benefit from its higher emotional intelligence and creativity—such as writing help, communication, learning, coaching, and brainstorming. It also shows st…
Keep reading View all Image 1: Codex for (almost) everything Codex for (almost) everything Product Apr 16, 2026 Image 2: OAI GPT-Rosaling Art Card 1x1 Introducing GPT-Rosalind for life sciences research Research Apr 16, 2026 Image 3: Agents SDK Art Card 1080x1080 The next evolution of the Agents SDK Product Apr 15, 2026 Our Research Research Index Research Overview Research Residency Economic Research Latest Advancements GPT-5.3 Instant GPT-5.3-Codex GPT-5 Codex Safety Safety Approach Security & Privacy Trust & Transparency ChatGPT Explore ChatGPT(opens in a new window) Business Enterprise…
Prompt cache pricing remains unchanged, with cached input tokens 90% cheaper than uncached tokens, and no additional charge for cache writes or storage. To use extended caching with GPT‑5.1, add the parameter i.j4i.i2
“prompt_cache_retention='24h'”
on the Responses or Chat Completions API. See the prompt caching docs(opens in a new window) for more detail. Coding GPT‑5.1 builds on GPT‑5’s coding capabilities with a more steerable coding personality, less overthinking, improved code quality, better user-targeted update messages (preambles) during sequences of tool calls, and more functional frontend…
Try it in the Codex app Listen to article Share We’re introducing a new model that unlocks even more of what Codex can do: GPT‑5.3‑Codex, the most capable agentic coding model to date. The model advances both the frontier coding performance of GPT‑5.2‑Codex and the reasoning and professional knowledge capabilities of GPT‑5.2, together in one model, which is also 25% faster. This enables it to take on long-running tasks that involve research, tool use, and complex execution. Much like a colleague, you can steer and interact with GPT‑5.3‑Codex while it’s working, without losing context. [...] P…
Introducing GPT-5.4 | OpenAI Skip to main content Log inTry ChatGPT(opens in a new window) Research Products Business Developers Company Foundation(opens in a new window) Introducing GPT-5.4 | OpenAI Table of contents Knowledge work Computer use and vision Coding Tool use Steerability Safety Availability and pricing Evaluations March 5, 2026 ProductRelease # Introducing GPT‑5.4 Designed for professional work Listen to article Share Today, we’re releasing GPT‑5.4 in ChatGPT (as GPT‑5.4 Thinking), the API, and Codex. It’s our most capable and efficient frontier model for professional work. We…
GPT‑5 is state-of-the-art (SOTA) across key coding benchmarks, scoring 74.9% on SWE-bench Verified and 88% on Aider polyglot. We trained GPT‑5 to be a true coding collaborator. It excels at producing high-quality code and handling tasks such as fixing bugs, editing code, and answering questions about complex codebases. The model is steerable and collaborative—it can follow very detailed instructions with high accuracy and can provide upfront explanations of its actions before and between tool calls. The model also excels at front-end coding, beating OpenAI o3 at frontend web development 70% o…
OpenAI co-founder Greg Brockman confirmed the extensive development timeline in leaked clips, describing 'Spud' as a "new base" and a "new pre-train," the result of "two years worth of research that is coming to fruition." He anticipates a "step change in capabilities," a qualitative leap far beyond current models. Users will experience it as "much smarter, much more capable," exhibiting a distinct "big model smell." Brockman detailed the model's expected prowess, stating it will solve "much harder problems," demonstrate increased nuance, and understand instructions and context "much better."…
Introducing GPT-5.3-Codex(February 5, 2026) Today, we launched GPT-5.3-Codex, our most capable agentic coding model yet. This model is the first that combines Codex + GPT-5 training stacks -- bringing together best-in-class code generation, reasoning, and general-purpose intelligence in one unified model. It’s ~25% faster,sets new highs on key benchmarks, and marks a step-change from code generation to a general-purpose coding agent you can actively steer while it works. Read more. ## Update on thinking time settings for GPT-5.2 Thinking in ChatGPT(February 4, 2026) [...] On February 13, 2…
OpenAI 2026 AI Roadmap: GPT-5, 5.2 & Open Models Risk-Free: 7-Day Money-Back Guarantee|1000+Reviews|Get Started Now! Start Now portfolio best fits a given workflow's latency, cost, compliance, and performance requirements-something that weighs on every planning session. The under-reported angle: While official announcements detail new capabilities like better agentic tool use and UI generation, they obscure the new operational burden, which I've noticed gets glossed over too often. The market is left without independent benchmarks, clear cost-per-task analysis, or migration playbooks, effec…
After training, fine-tuned GPT-4.1 inference typically costs around $3.00 per million input tokens and $12.00 per million output tokens, making it more expensive than the base model. GPT-4.1 Mini offers a lower-cost option, with training at about $0.80 per million tokens and inference at roughly $0.80 input and $3.20 output. OpenAI may offer discounted pricing for users who opt into data sharing, depending on program terms. ## What Drives Your OpenAI API Cost? Five factors determine how much you actually pay. Model choice is the biggest lever. GPT-5.4 Nano costs $0.20 per million input tokens…
Updated – March 2026 Completely updated pricing tables for all current OpenAI models (GPT-5, GPT-4.1, o3, o4-mini, and more) Removed outdated GPT-4 Turbo and GPT-3.5 Turbo pricing (legacy models) Added Batch API, cached input, and prompt caching cost optimization sections New model selection decision framework and real-world cost examples Updated integration guidance for current best practices The potential is immense. OpenAI API developers can build powerful, scalable NLP solutions with remarkable speed, turning innovative AI ideas into fully deployed business tools. From intelligent ch…
In an episode of the Big Technology podcast, Brockman claimed that Spud would set the new benchmark for AI models, with “two years worth of research” coming to fruition. ### Spud gives “big model smell” ### Spud gives “big model smell” According to the OpenAI chief, Spud, which is rumoured to be GPT 5.5, is going to be much smarter than the company’s previous AI models. So much so, that he has a term for it, called “big model smell,” seemingly taking a reference from the new car smell phrase. [...] Greg Brockman claimed that Spud will be better at understanding contexts for tasks without need…
It’s a good model, but I think that it’s really not about any one model. The way that our development process works is you have pre-training, so you produce a new base model that is then the foundation that we build further improvements on top of. And that is always a huge effort across many people in the company — that’s where I’ve actually been spending most of my efforts over the past 18 months, really focused on our GPU infrastructure, on supporting the teams that do all of the training frameworks to scale up with these big runs. I think of Spud as a new base, as a new pretrain. I’d say i…
OpenAI Pricing in 2026 for Individuals, Orgs & Developers or $30 per user/month (billed monthly). It includes access to GPT-5 with increased usage limits, shared workspaces, and basic administrative tools. This plan is designed for small to mid-sized teams that need collaborative features and better performance than individual tiers. ChatGPT Enterprise provides a fully managed solution for large-scale deployments. Pricing is custom based on team size, usage volume, and feature requirements. It includes unlimited access to GPT-5, advanced security (e.g., SOC 2 compliance), single sign-on (SS…
OpenAI is doubling down on its next-generation artificial intelligence model, internally codenamed “Spud,” as it sharpens its focus on core technologies amid growing competition in the enterprise AI space. The company, led by Sam Altman, is reportedly prioritizing advancements in foundational models, and early signals suggest that Spud could represent a significant technological leap. OpenAI President Greg Brockman recently offered insights into the upcoming model during an appearance on the Big Technology podcast. He described Spud as the culmination of “two years worth of research,” hinting…
GoogleNewsIcon google Tech giant OpenAI is reportedly gearing up to bring its next AI model, codenamed Spud. After a heavy competition from Anthropic in the agentic AI and enterprise market, the tech firm could focus more on its native products. It appears that Spud could be a major leap in the artificial intelligence race, as OpenAI President Greg Brockman teased the Sam Altman-led company’s upcoming AI model in a recent podcast. In a recent episode of the Big Technology podcast, Brockman suggested that Spud could be a significant change the company has been planning for a while in the AI ra…
The responsible framing here requires acknowledging what cannot be confirmed. Spud's actual capability improvements are not public. The naming — GPT-5.5 or GPT-6 — has not been decided. The 'two years of research' and 'big model feel' language comes from Greg Brockman's public podcast interview and Altman's internal all-hands — these are genuine signals, but every company has every incentive to describe its pre-release model optimistically, especially ahead of an IPO. The Polymarket 78% probability by April 30 is crowd-wisdom, not a guarantee. And 'benchmark leadership' as a goal does not tra…
Image 10: this image captures the concept of AI transitioning from a passive chatbot to an active agent that can write code, run workflows, and manage software tools simultaneously. The leading models of 2026 each bring unique strengths to the table, from multimodal processing to massive context windows and strict safety alignment. ## The top LLMs leading the AI ecosystem in 2026 The following ranking reflects current real-world usage, performance benchmarks, and enterprise adoption. ### 1. GPT-4o and OpenAI’s latest GPT models [...] In July 2025, we published a breakdown titled Ranking the T…
mint mint # What is OpenAI’s ‘Spud’? Greg Brockman teases new ChatGPT model built on years of research ## OpenAI's Greg Brockman has announced that the company's upcoming AI model ‘Spud’ is a result of two years of research. The new model will serve as a foundational base model for future ChatGPT iterations Greg Brockman has teased a new AI model for ChatGPT OpenAI President Greg Brockman has given details about the upcoming AI model from the ChatGPT maker called ‘Spud’. In a recent podcast appearance, Brockman called it a culmination of nearly two years of research from the company and a key…
Across the major providers, list pricing for comparable capabilities is generally similar, but real differences emerge in performance per dollar for your specific use case. On average, OpenAI is priced at $24405 and $561564 for SMB and Enterprise plans, respectively. Anthropic runs at an average of $24423 and $85044. Midjourney is priced at $530 and $528, on average. ElevenLabs pricing averages out to $5650 AND $11412. ### What is OpenAI Enterprise pricing and what does it include? [...] OpenAI offers multiple pricing tiers to match different team sizes and use cases. At an average of $24405…
| Condition | Self-Host on GPU Cloud | Use Inference API | --- | Token volume | Greater than 100M tokens/month | Less than 50M tokens/month | | Latency SLA | Strict P99 requirements | Flexible | | Model customization | Fine-tuned or private model | Foundation model | | Ops capability | Dedicated infra team | Small team, no infra resources | | Data privacy | Private or regulated data | Public or low-sensitivity data | | Cost at scale | $0.10-0.50/M tokens self-hosted | $0.60-15/M tokens via API | [...] | Metric | Before | After | --- | Monthly GPU cost | ~$29,200 | ~$14,951 | | Infrastructure…
SolidIndustry, a consulting firm specializing in industrial expertise, aims to bridge theoretical k… SolidIndustry是一家专注于工业专业知识的咨询公司，致力于将理论知识与实际应用相结合，以解决各行业的现… SolidIndustry, une société de conseil spécialisée dans l'expertise industrielle, vise à combler le … تسعى شركة سوليد إندستري، المتخصصة في الاستشارات الصناعية، إلى ردم الفجوة بين المعرفة النظرية والتطب… #### PERMATA USIM Shines at National PERMATA Appreciation and Iftar Event 2026 PERMATA USIM 在2026年全国PERMATA表彰暨开斋晚宴上大放异彩 PERMATA USIM Brille lors de l'Événement National d'Appréciation et d'Iftar PERM… PERMATA USIM يتألق في فعالية التقدير…
March 11, 2026 ## Retiring GPT-5.1 models As of March 11, 2026, GPT-5.1 models are no longer available in ChatGPT. This applies to GPT-5.1 Instant, GPT-5.1 Thinking, and GPT-5.1 Pro. Existing conversations that used GPT-5.1 will automatically continue on the corresponding current model: GPT-5.3 Instant, GPT-5.4 Thinking, or GPT-5.4 Pro. # March 10, 2026 ### Interactive learning for math and science When you ask ChatGPT about certain topics, it can now present an interactive visual module that lets you experiment with formulas and variables in real time. Adjust inputs, manipulate equations,…
Join the conversation on AI models, pricing, and tools. Price Per Token Community Price Per TokenPrice Per Token |Follow: OpenAI # GPT 5 API Pricing 2026 Compare pricing, benchmarks, and providers for GPT 5. Find the best value for your use case. Get our weekly newsletter on pricing changes, new releases, and tools. No bots, no big tech influence — join the new community for AI devs 8 Ways to Use Fewer Tokens Last updated: April 6, 2026 at 08:28 AM ## Overview GPT 5was released on August 7, 2025. Pricing starts at $1.25 per million input tokens and $10.00 per million output tokens. The model…
HappyHorse 1.0 Coming SoonLearn More GPT-5 API Pricing Comparison 2026: GPT-5.4 vs GPT-5.2 vs GPT-5.1 # GPT-5 API Pricing Comparison 2026: GPT-5.4 vs GPT-5.2 vs GPT-5.1 EvoLink Team EvoLink Team Product Team April 16, 2026 6 min read # GPT-5 API Pricing Comparison: GPT-5.4 vs GPT-5.2 vs GPT-5.1 GPT-5 API pricing varies significantly across model versions. GPT-5.4 costs $2.50/$15.00 per 1M tokens (input/output), GPT-5.2 costs $1.75/$14.00, and GPT-5.1 costs $1.25/$10.00. All three offer 90% cached input discounts and 128K max output. This guide covers exact per-token pricing for every GPT-5.x…
To support further research in this area, we are releasing the IH‑Challenge dataset here(opens in a new window). 2026 Alignment Ethics & Safety Author OpenAI Keep reading View all Image 3: CoT controllability > Cover Image Reasoning models struggle to control their chains of thought, and that’s good Research Mar 5, 2026 Image 4: 5.4 Thinking System Card 1x1 GPT-5.4 Thinking System Card Publication Mar 5, 2026 Image 5: graviton paper release > card image Extending single-minus amplitudes to gravitons Research Mar 4, 2026 Our Research Research Index Research Overview Research Residency OpenAI…
Jan 26, 2026 for Sheets and Excel OpenAI gpt-5-search-api now costs $20 per 1M tokens without an API key, instead of $40 per 1M tokens previously. The search cost without an API key ($10 per 1K searches) and the token cost with an API ($1 per 1M tokens) remain unchanged. ### Jan 23, 2026 for Excel and Word Parallel speed is now available at $7 per 1K searches without an API key. ### Jan 21, 2026 for Sheets Parallel speed is now available at $7 per 1K searches without an API key. ### Jan 12, 2026 for all add-ons Model support alignment across all add-ons: GPT for Sheets and Excel: Now…
Image 1012Image 11Image 12Image 13Image 14 # Choosing an LLM in 2026: The Practical Comparison Table (Specs, Cost, Latency, Compatibility) #promptengineering#ai#openai#llm # , the ingredients are expensive (token price), the chef is slow (latency), or your tools don’t fit (function calling / JSON / SDK / ecosystem). So here’s a practical comparison you can actually use. > Note on “parameters”: for many frontier models, parameter counts are not publicly disclosed. In practice, context window + pricing + tool features predict “fit” better than guessing parameter scale. # Quick comparison: what…
Thread 907 views uttamm_gupta's profile picture uttamm_gupta GPT-5.5 drops this week. And most people are completely sleeping on WHY this is different. OpenAI's co founder Greg Brockman said 3 things in his last video before the release. And if you understand what he actually meant you'll see this isn't just another model launch. 9 4 Log in or sign up for ThreadsSee what people are talking about and join the conversation. Log in with username instead
AI Model Benchmarks Apr 2026 | Compare GPT-5, Claude 4.5, Gemini 2.5, Grok 4 | LM Council ← LM Council Home Recommended # AI Model Benchmarks Apr 2026 18 benchmarks - the world's most-followed benchmarks, curated by AI Explained, author of SimpleBench Independently-run benchmarks by Epoch, Scale and others, so may not match self-reported scores by AI orgs. ## Compare Models Model 1: Model 2: Compare Show Filters Search: ### Humanity's Last Exam 2,500 of the toughest, subject-diverse, multi-modal questions designed to test for both depth of reasoning and breadth of knowledge. Created in part…
Benchmark rank is a filter, not a ship decision. You can select a model only after it clears your production bar on your own workload: for example, at least 90% pass rate on your top 200 prompts, p95 latency below 2 seconds, and cost below your target per resolved conversation. Models that beat GPT-4.1 or Claude on public tests can still fail when your prompt mix, tool calls, or long context windows differ. From enterprise deployment case studies and API usage patterns, teams commonly see a 10 to 25 point pass-rate drop after retrieval and tool use are turned on. For enterprise assistants, al…
Migration strategies For businesses, moving to 5.5 is a straightforward process: update your inference stacks, check for any latency or cost improvements, and ensure your plugins are still compatible. On the other hand, upgrading to GPT-6 will necessitate some architectural changes to accommodate persistent memory and manage agents effectively. ### Costs, tiers and access models We can expect 5.5 to be rolled out across the current tiers, while GPT-6 may bring in new access tiers, possibly including higher-priced options for enterprise users that come with enhanced service level agreement…
Our most advanced model for coding and agentic tasks GPT‑5 produces high-quality code, generates front-end UI with minimal prompting, and shows improvements to personality, steerability, and executing long chains of tool calls. GPT‑5 also introduces ‘minimal’ reasoning and a ‘verbosity’ parameter in the API. Start building(opens in a new window)Read the API Platform blog [...] 00:00 For business ## Our best model for work GPT‑5 is smarter, more reliable, and built for the tasks businesses depend on. Your teams can trust it to handle important work with higher confidence. Try for free(opens…
We assign each instruction in this document, as well as those from users and developers, a level of authority. Instructions with higher authority override those with lower authority. This chain of command is designed to maximize steerability and control for users and developers, enabling them to adjust the model’s behavior to their needs while staying within clear boundaries. The levels of authority are as follows: Root: Fundamental root rules that cannot be overridden by system messages, developers or users. Root-level instructions are mostly prohibitive, requiring models to avoid behavi…
API Platform Platform Overview Pricing API log in(opens in a new window) Documentation(opens in a new window) Developer Forum(opens in a new window) For Business Business Overview Solutions Contact Sales Company About Us Our Charter Foundation(opens in a new window) Careers Brand Support Help Center(opens in a new window) More News Stories Academy Livestreams Podcast RSS Terms & Policies Terms of Use Privacy Policy Other Policies (opens in a new window)(opens in a new window)(opens in a new window)(opens in a new window)(opens in a new window)(opens in a new window)(opens in a new window) Ope…
The pricing and capability tables deepen the separation. Developers choose models partly by cost, latency, context window, and tool support. ChatGPT users choose plans and workflows. Plus, Pro, Go, Business, Enterprise, and Edu each shape access differently. The same user might interact with a product whose interface says “ChatGPT,” while the actual work is routed across variants that a developer would think of as different technical objects. That makes consumer naming more impressionistic than it used to be. [...] The safety documentation reinforces that interpretation. The GPT-5.4 Thinking…
ChatGPT Enterprise workspace will retain access to the GPT-5 model until February 19, 2026. In addition, GPT-5 Pro will also remain open to all paid users until February 19, 2026. These models will continue to be available through the OpenAI API in the future. Disclaimer: Includes third-party opinions. No financial advice. May include sponsored content.See T&Cs. 5 3.6k Reply Related Posts Image 4 Image 5 動區 BlockTempo · 11h [...] # OpenAI Stops Use of Older ChatGPT Models, GPT-5 Continues to Be Available Until 2026 | Binance News on Binance Square Image 1: Binance Square Login Sign Up Discove…
Chatgptricks - Spud: OpenAI’s Next Big Move OpenAI just... | Facebook Log In Log In Forgot Account? ## Chatgptricks's Post []( ### Chatgptricks March 31 at 3:10 PM · Spud: OpenAI’s Next Big Move OpenAI just revealed early details about its upcoming “Spud” model, expected to be the next evolution of ChatGPT. It’s designed to handle complex tasks, boost productivity, and push AI deeper into real-world use across industries. This isn’t a small iteration. Spud has already completed pre-training and could land as GPT-5.5 or even GPT-6, with major gains in coding, research, and problem-solving. I…
Signals / Implications / What to do: Signal: GPT-5’s “thinking” isn’t always-on — it activates adaptively when tasks require deeper reasoning (math, code, analysis). Implication: The model is now good enough to classify as “High capability” in cyber risk, triggering OpenAI’s strictest safety protocols. Action: If you’re building on OpenAI APIs, migrate from GPT-4o before April 3, 2026 (ChatGPT already retired it Feb 13). ## The Launch: August 7, 2025 OpenAI dropped GPT-5 during a massive livestream with Sam Altman and the core team. The pitch was simple: “Our most intelligent, fast, and usefu…
aiprofitboardroom_'s profile picture aiprofitboardroom_ OpenAI just leaked a new model that nobody is talking about. And it could replace your entire research team. It is a secret project named Spud. Right now, you use AI like a search engine. You type a prompt. You get text back. Spud is different. It is an AI agent. That means it acts on its own. It browses the web. It writes code. It finishes whole projects for you while you sleep. Do not wait for the big launch. Start testing AI agents today so you are ready when it drops. #OpenAI #AIAgents #BusinessGrowth #TechNews #Productivity ## No c…
Every so often, a company's internal decisions tell you more about the industry than any analyst report. OpenAI just killed Sora, one of its most high-profile products. And they have redirected everything toward a new model called "Spud." Sam Altman told employees it will be ready in weeks and could "really accelerate the economy." Most people are debating whether it's GPT-5.5 or GPT-6. But the interesting question is what this resourcing decision reveals about where enterprise AI is actually heading. Here's what I'm watching: 1\ Compute is strategy, not just infrastructure. Access to compute…
Digit - ChatGPT 5.5 aka Spud model may debut next week:... | Facebook Log In Log In Forgot Account? ## Digit's Post []( ### Digit 19h · ChatGPT 5.5 aka Spud model may debut next week: Here is what to expect Image 1: ChatGPT 5.5 aka Spud model may debut next week: Here is what to expect digit.in ChatGPT 5.5 aka Spud model may debut next week: Here is what to expect Like Comment Like Comment
Welcome back to Ai Verdict. If you are refreshing OpenAI's blog daily waiting for GPT 5.5 to drop, or if you've seen those wild headlines ... Jan 10, 2026
GPT-5.5 “Spud” Explained – The Truth Behind OpenAI’s Next Big Model Image 7 BitBiasedAI BitBiasedAI 42.6K subscribers Subscribe Subscribed 110 Share Save Download Download 3.4K views 1 day agoNEW YORK 3,426 views • Premiered Apr 14, 2026 • NEW YORK Link to our newsletter: GPT-5.5 might not be officially released yet, but the internal codename “Spud” hints at OpenAI’s next major AI breakthrough. Here’s everything you need to know.…...more ...more How this was made Auto-dubbed Audio tracks for some languages were automatically generated. Learn more ## Chapters View all Image 8 #### Introducti…