Tìm kiếm và kiểm chứng thông tin: Có nên nâng cấp lên Opus 4.7 cho công việc lập trình và AI agent không?
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì...
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì Anthropic định vị nó là bản nâng cấp trực tiếp so với Opus 4.6 cho coding, long running work, instruct
Bài học chính
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì Anthropic định vị nó là bản nâng cấp trực tiếp so với Opus 4.6
Những gì mình kiểm chứng được:
Câu trả lời nghiên cứu
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì Anthropic định vị nó là bản nâng cấp trực tiếp so với Opus 4.6 cho coding, long-running work, instruction following và self-verification, trong khi giá niêm yết API vẫn là $5 / 1M input token và $25 / 1M output token.[4] Tuy vậy, không nên chuyển toàn bộ traffic ngay nếu bạn rất nhạy về chi phí, vì docs của Anthropic nói tokenizer mới có thể làm mức tiêu thụ token tăng khoảng 1x đến 1.35x và task budgets vẫn đang ở beta.[3]
Những gì mình kiểm chứng được:
Anthropic đã phát hành Claude Opus 4.7 như model Opus mới ở nhóm cao cấp/GA, và mô tả nó tốt hơn Opus 4.6 ở long-running work, coding, instruction following, self-verification, computer use và knowledge work.[4]
Giá niêm yết API của Opus 4.7 không đổi so với 4.6: $5 / 1M input token và $25 / 1M output token.[4]
Anthropic docs cho biết Opus 4.7 thêm task budgets, và tokenizer mới có thể dùng nhiều token hơn khoảng 1x đến 1.35x tùy nội dung, nên “giá list không đổi” không đồng nghĩa “chi phí thực tế không đổi”.[3]
Kết luận thực tế:
Nên nâng cấp ngay nếu bottleneck hiện tại của bạn là agent hay lạc hướng, fail ở task nhiều bước, hoặc cần model tự kiểm tra và bám chỉ dẫn tốt hơn.[4]
Nên pilot trước nếu bạn chạy khối lượng lớn hoặc tối ưu cost rất chặt, vì effective cost mỗi task có thể tăng do token usage tăng.[3]
Nếu workload của bạn chủ yếu là tác vụ ngắn, lặp lại, throughput cao, thì hiện chưa có đủ bằng chứng công khai để mình khuyên chuyển toàn bộ sang Opus 4.7. Insufficient evidence.
Cách ra quyết định nhanh nhất:
Chạy A/B trên 50–100 task thật của team.
So 4 chỉ số: task success rate, số lần cần can thiệp của người, tổng token/cost mỗi task, và thời gian hoàn thành.
Nếu 4.7 giảm rework hoặc giảm số vòng trao đổi đủ nhiều để bù phần token tăng, thì nâng cấp là hợp lý.
Nếu bạn muốn, mình có thể làm tiếp cho bạn một bảng so sánh rất thực dụng: Opus 4.7 vs model bạn đang dùng hiện tại cho “coding assistant”, “code review”, và “AI agent” kèm tiêu chí benchmark nội bộ.[4][3]
Hỗ trợ hình ảnh
The text "Claude Opus 4" is displayed with a stylized sunburst icon to the leftThe text "Claude Opus 4" is displayed with a stylized sunburst icon to the left.Plans & Pricing | Claude by AnthropicThe image displays the logo of Claude, a product or service related to API pricing, with a stylized flower or star graphic on the left side.The image displays a comparison chart of release dates and performance scores for various AI models, including Claude Opus 4.1, Claude OpusThe image displays a comparison chart of release dates and performance scores for various AI models, including Claude Opus 4.1, Claude Opus 4, Claude Sonnet 4, OpenAI GPT-3, and Gemini 2.5 Pro, across different tasks and evaluation benchmarks from November 2022 to December 2025.A bar chart compares Elo scores for different AI models, showing Opus 4.6 having the highest score, followed by GPT-5.2, with Opus 4.5, SonnA bar chart compares Elo scores for different AI models, showing Opus 4.6 having the highest score, followed by GPT-5.2, with Opus 4.5, Sonnet 4.5, and Gemini 3 Pro in descending order.The content outlines different subscription plans for Claude, including Free, Pro, and Max options, with details on pricing, features, and bThe content outlines different subscription plans for Claude, including Free, Pro, and Max options, with details on pricing, features, and benefits associated with each plan.Use case impact reportopengraph illustrationogClaude for NonprofitsimageA bar chart comparing the accuracy of different AI models, with Claude Sonnet 4.5 and Sonnet 4 showing high performance at around 82% and 80A bar chart comparing the accuracy of different AI models, with Claude Sonnet 4.5 and Sonnet 4 showing high performance at around 82% and 80%, respectively, in the context of software engineering optimization settings.A screenshot of a Microsoft 365 research workspace shows various project updates, reports, and analysis tools on a digital interface, with tA screenshot of a Microsoft 365 research workspace shows various project updates, reports, and analysis tools on a digital interface, with the user "Claude" active in the top right corner.A benchmark table comparing Claude Opus 4.1 to prior Claude models and other public modelsA bar chart showing the accuracy percentages of various models in software engineeringA bar chart showing the accuracy percentages of various models in software engineering.Chart showing Claude's progress on a popular coding evaluationClaude 3imageimage
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Tìm kiếm và kiểm chứng thông tin: Có nên nâng cấp lên Opus 4.7 cho công việc lập trình và AI agent không?
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Câu trả lời được trích dẫn
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì Anthropic định vị nó là bản nâng cấp trực tiếp so với Opus 4.6 cho coding, long-running work, instruction following và self-verification, trong khi giá niêm yết API vẫn là $5 / 1M input token và $25 / 1M output token.[4] Tuy vậy, không nên chuyển toàn bộ traffic ngay nếu bạn rất nhạy về chi phí, vì docs của Anthropic nói tokenizer mới có thể làm mức tiêu thụ token tăng khoảng 1x đến 1.35x và task budgets vẫn đang ở beta.[3]
Những gì mình kiểm chứng được:
Anthropic đã phát hành Claude Opus 4.7 như model Opus mới ở nhóm cao cấp/GA, và mô tả nó tốt hơn Opus 4.6 ở long-running work, coding, instruction following, self-verification, computer use và knowledge work.[4]
Giá niêm yết API của Opus 4.7 không đổi so với 4.6: $5 / 1M input token và $25 / 1M output token.[4]
Anthropic docs cho biết Opus 4.7 thêm task budgets, và tokenizer mới có thể dùng nhiều token hơn khoảng 1x đến 1.35x tùy nội dung, nên “giá list không đổi” không đồng nghĩa “chi phí thực tế không đổi”.[3]
Kết luận thực tế:
Nên nâng cấp ngay nếu bottleneck hiện tại của bạn là agent hay lạc hướng, fail ở task nhiều bước, hoặc cần model tự kiểm tra và bám chỉ dẫn tốt hơn.[4]
Nên pilot trước nếu bạn chạy khối lượng lớn hoặc tối ưu cost rất chặt, vì effective cost mỗi task có thể tăng do token usage tăng.[3]
Nếu workload của bạn chủ yếu là tác vụ ngắn, lặp lại, throughput cao, thì hiện chưa có đủ bằng chứng công khai để mình khuyên chuyển toàn bộ sang Opus 4.7. Insufficient evidence.
Cách ra quyết định nhanh nhất:
Chạy A/B trên 50–100 task thật của team.
So 4 chỉ số: task success rate, số lần cần can thiệp của người, tổng token/cost mỗi task, và thời gian hoàn thành.
Nếu 4.7 giảm rework hoặc giảm số vòng trao đổi đủ nhiều để bù phần token tăng, thì nâng cấp là hợp lý.
Nếu bạn muốn, mình có thể làm tiếp cho bạn một bảng so sánh rất thực dụng: Opus 4.7 vs model bạn đang dùng hiện tại cho “coding assistant”, “code review”, và “AI agent” kèm tiêu chí benchmark nội bộ.[4][3]
Người ta cũng hỏi
Câu trả lời ngắn gọn cho "Tìm kiếm và kiểm chứng thông tin: Có nên nâng cấp lên Opus 4.7 cho công việc lập trình và AI agent không?" là gì?
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì Anthropic định vị nó là bản nâng cấp trực tiếp so với Opus 4.6
Những điểm chính cần xác nhận đầu tiên là gì?
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì Anthropic định vị nó là bản nâng cấp trực tiếp so với Opus 4.6 Những gì mình kiểm chứng được:
Tôi nên khám phá chủ đề liên quan nào tiếp theo?
Tiếp tục với "Deep research and show me top 10 trending question Vietnamese users often ask about Claude Opus 4.7 now. Show me both Vietnamese language &" để có góc nhìn khác và trích dẫn bổ sung.
Start building with Claude. Everything you need to integrate Claude into your applications. From first API call to production. What do you want to build? import anthropic import anthropic client = anthropic.Anthropic() client = anthropic.Anthropic() message = client.messages.create(message = client.messages.create( model="claude-opus-4-7", model ="claude-opus-4-7", max_tokens=1024, max_tokens = 1024, messages=[{ messages =[{ "role": "user", "role": "user", "content": "Hello, Claude" "content": "Hello, Claude" }] }]))print(message.content[0].text) print(message.content[0].text). ## Choose ho…
Skip to main contentSkip to footer. . * Extended thinking with tool use (beta): Both models can use tools—like web search—during extended thinking, allowing Claude to alternate between reasoning and tool use to improve responses. Get started today on [Claude](https:…
Skip to main contentSkip to footer. . Today, we’re launching Claude Design, a new Anthropic Labs product that lets you collaborate with Claude to create polished visual work like designs, prototypes, slides, one-pagers, and mor…
Claude for Nonprofits. In partnership with the global generosity movement GivingTuesday, we’re launching Claude for Nonprofits to help organizations across the world maximize their impact. Many nonprofits already use Claude to meet their goals. Claude for Nonprofits includes three things: discounted access of up to 75% to Claude, connectors to new nonprofit tools—Blackbaud, Candid, and Benevity—and a free course, AI Fluency for Nonprofits, designed to help teams use AI more effectively. At the discounted price, Claude for Nonprofits includes access to Claude Opus 4.6, Claude Sonnet 4.5, and…
As we show in our extensive system card, Opus 4.6 also shows an overall safety profile as good as, or better than, any other frontier model in the industry, with low rates of misaligned behavior across safety evaluations. . . Clau…
Skip to main contentSkip to footer. . This is the most aligned frontier model we’ve ever released, showing large improvements across several areas of alignment compared to previous Claude models. ![Image 2: Chart showing frontier model performance on SWE-bench Veri…
On some measures, Sonnet 4.6 showed the best degree of alignment we have yet seen in any Claude model. Informed by the testing described here—and similarly to Claude Sonnet 4.5—we have deployed Claude Sonnet 4.6 under the AI Safety Level 3 (ASL-3) Standard. 3 Abstract 3 1 Introduction 7 1.1 Model training and characteristics 8 1.1.1 Training data and process 8 1.1.2 Thinking modes and the effort parameter 9 1.1.3 Crowd workers 9 1.2 Release decision process 10 1.2.1 Overview 10 1.2.2 Iterative model evaluations 10 1.2.3 AI S…
You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll he…
Anthropic officially launched Claude Opus 4.7 as its newest top-tier Opus model, positioning it as better at long-running work, coding, instruction following, self-verification, computer use, and knowledge work than Opus 4.6, while keeping list pricing unchanged at $5 / $25 per million input/output tokens according to user summaries and launch discussion [@claudeai, @kimmonismus]. * Anthropic also launched or highlighted task budgets in public beta, i.j4i.i2
Introducing the AI coding agent security benchmark. # Claude Opus 4.7 Sets New Records in the Endor Labs Agent Security League. The results are the most interesting we've seen since we launched the leaderboard: for the first time, a model has pushed security scores above 20%, a threshold no previous agent+model combination had reached. | Agent | Model | Functional (%) | Secure (%) | Date |. Claude Code + Opus 4.7 also clears the 20% security bar, making Opus 4.7 the first model to break that threshold regardless of which agent framework it's paired with. In addition, to new high scores, the C…
Notion AI's AI Lead Sarah Sachs, quoted in Anthropic's official release: "plus 14% over Opus 4.6 at fewer tokens and a third of the tool errors." This is a single partner's internal benchmark on their specific orchestration patterns, not a controlled cross-model evaluation. Rakuten, quoted in Anthropic's official release: "On Rakuten-SWE-Bench, Claude Opus 4.7 resolves 3x more production tasks than Opus 4.6, with double-digit gains in Code Quality and Test Quality." This is Rakuten's proprietary benchmark on their internal codebase — not SWE-bench standard. # Claude Code /effort xhigh # API r…
Skip to main content. Sign In. . Anthropic's April 16 release reports the following benchmark shifts — all Anthropic-conducted unless otherwise noted:. * [Claude Managed Agents Pricing: What You Actually Pay](htt…
AI Engineer Learning Path. ##### Generative AI Learning Path. The new model, Claude Opus 4.7, that Anthropic introduced recently, is one such shift. Just why, and what is different about the new Claude Opus 4.7? It is not a line-by-line code generator but built for the “most difficult tasks.” Because of this, Anthropic says that users have reported less supervision requirement on Opus 4.7 over Opus 4.6, even with their hardest coding work. In Anthropic’s internal testing, it found Opus 4.7 to be way better than Opus 4.6 in almost all areas of real-world tasks. Because with such memory,…
A head-to-head benchmark of Claude Opus 4.6 and Opus 4.7 on 5 core PM tasks, with Claude-as-judge quality scoring. 1. i.j4i.i2
claude_battle.py
— runs both models on identical PM prompts and saves raw outputs + timing. 2. i.j4i.i2
battle_eval.py
— uses Claude Opus 4.7 as an independent judge to score both models on 5 PM-specific quality dimensions. Each response was evaluated by Claude Opus 4.7 acting as an independent judge, scoring five PM-specific quality dimensions from 1-10 (max score per task: 50). Opus 4.7 produced a well-structured output with a clear hierarchy and checkbox-formatted user stories,…
Claude Opus 4.7 introduces task budgets. This new tokenizer may use roughly 1x to 1.35x as many tokens when processing text compared to previous models (up to ~35% more, varying by content), and i.j4i.i2
Claude Opus 4.7 Best Practices: Detailed Plans Win. Opus 4.7 interprets instructions literally. Learn how detailed plans, xhigh effort, and explicit agents unlock better results in Claude Code. The model does exactly what you tell it, which punishes vague prompts and rewards detailed plans. Most of the changes in the Code Kit pipeline were designed for exactly this kind of model, one that rewards explicit plans, clear acceptance criteria, and tight scoping. Anthropic recommends i.j4i.i2
xhigh
as the starting point for most agentic coding but explicitly mentions toggling during a task to manage tok…
Google Unveils Gemma 4: Its Most Advanced Open AI Model Family for Reasoning an… 谷歌发布Gemma 4：迄今最先进的开放式AI模型家族，用于推理和自动化 Google dévoile Gemma 4 : sa famille de modèles IA ouverte la plus avancée pour … جوجل تكشف عن Gemma 4: أكثر عائلات نماذج الذكاء الاصطناعي تقدماً في مجال التفكير…. #### Anthropic Study Reveals Ideological Bias in Qwen and Llama AI Models Anthropic研究揭示Qwen和Llama人工智能模型中的意识形态偏向 Étude d'Anthropic Révèle des Biais Idéologiques dans les Modèles d'IA Qwen et L… دراسة من أنثروبيك تكشف التحيزات الأيديولوجية في نماذج الذكاء الاصطناعي Qwen وLl…. #### AI Model Benchmarks – April 2026:…
The upgrade lives in a set of operator-model behaviors that the evals most teams run cannot see: longer traces that stay coherent, fewer tool calls with fewer errors, more literal instruction-following that breaks prompts tuned on Opus 4.6, and better file-system memory that rewards good scratchpad design and punishes lazy checkpoint architecture. Claude Opus 4.7 is Anthropic's generally available flagship coding and agentic-reasoning model, released April 16, 2026 at the same per-token pricing as Opus 4.6. Use Claude Opus 4.7 for long-trace, tool-heavy, unsupervised agent workloads: runs ove…
Claude Opus 4.7 Is Here: What Anthropic's Latest Model Means for Enterprise AI and CRM. Claude Opus 4.7 Is Here: What Anthropic's Latest Model Means for Enterprise AI and CRM. Claude Opus 4.7 Is Here: What Anthropic's Latest Model Means for Enterprise AI and CRM. * What is it? Claude Opus 4.7 is Anthropic's newest generally available frontier AI model, released April 16, 2026 — a significant upgrade over Opus 4.6 across coding, vision, instruction following, and long-running agentic tasks. On April 16, 2026, Anthropic officially released Claude Opus 4.7 — the company's most capable…
. Here’s what makes this one specifically worth paying attention to: Opus 4.7 follows instructions more literally than any previous Claude model, which means prompts you’ve carefully tuned over the last year may start behaving differently starting today. The real migration w…
The latest crypto news highlights Anthropic’s new safeguards to block high-risk cyber requests. Anthropic on Thursday broadly released Claude Opus 4.7, its latest flagship model, framing it as a direct upgrade over Opus 4.6 with stronger performance in advanced software engineering, complex multistep tasks, and professional knowledge work. The company said the model is available across Claude products and its API, as well as through Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Foundry, with pricing unchanged from Opus 4.6 at $5 per million input tokens and $25 per million output toke…
. Explore Claude Opus 4.7, Anthropic’s most capable generally available model, with stronger agentic coding, high-resolution vision, 1M context, and a migration story that matters almost as much as the benchmark scores. That’s the real story behind Claude Opus 4.7. Pricing stays where Opus 4.6 pricing was, but the model is positioned as meaningfully better at agentic coding, long-horizon autonomy, multimodal reasoning, memo…
Claude Opus 4.7. Claude Opus 4.7isAnthropic logoAnthropic's language model with a 1.0M context window and up to 128K output tokens, available from 7 providers, starting at $5.00 / 1M input and $25.00 / 1M output. | Canonical ID | i.j4i.i2
anthropic-claude-4-7-opus
|. | Amazon Bedrock logo Amazon Bedrock anthropic.claude-opus-4-7 | $5.00 | $25.00 | $0.500 | — | — |. | Anthropic logo Anthropic claude-opus-4-7 | $5.00 | $25.00 | $0.500 | $2.50 | $12.50 |. | Claude Opus 4.7 | | 1.0M | $5.00 | $25.00 | Current |. | Claude Opus 4.6 | | 1.0M | $5.00 | $25.00 | Available |. * `amazon_b…
Anthropic Debuts Claude Opus 4.7 as Agentic Workflows Take Center Stage. Anthropic officially launched its newest artificial intelligence model, Claude Opus 4.7, on Thursday, April 16, 2026.. Anthropic Debuts Claude Opus 4.7 as Agentic Workflows Take Center Stage. * Anthropic launched Claude Opus 4.7 on April 16, 2026, featuring an 87.6% score on the SWE-bench Verified test. * Developers must manage costs as the new model uses 1.0 to 1.35 times more tokens than the previous 4.6 version. ## AI Evolution: Claude Opus 4.7 Released With Enhanced Vision and Memory. Performance metrics releas…
The "Base Input Tokens" column shows standard input pricing, "Cache Writes" and "Cache Hits" are specific to prompt caching, and "Output Tokens" shows output pricing. * Prompt caching multipliers apply on top of fast mode pricing. Fast mode is not available with the Batch API. Claude Mythos Preview, Opus 4.7, Opus 4.6, and Sonnet 4.6 in…
Anthropic just announced 1M context GA at standard pricing for Opus 4.6 & Sonnet 4.6, when will Cursor reflect this? Anthropic announced today (March 13, 2026) that the full 1M context window is now generally available for Claude Opus 4.6 and Sonnet 4.6 at standard API pricing with no long-context premium:. 1M context is now included in Claude Code for Max, Team, and Enterprise users on Opus 4.6 by default. Will the 1M context window become the default for Opus 4.6 and Sonnet 4.6 without requiring MAX Mode?. *For users on Cursor’s Max/Team/Enterprise plans, does the Claude Code 1M…
Claude Opus 4.6: Anthropic's New Flagship AI Model for Agentic Coding. Key upgrades: better agentic AI coding capabilities (plans more carefully, sustains longer tasks, catches its own mistakes), a 1M token context window (a first for Opus-class models), and 128K output tokens. The timing isn’t accidental — Apple just announced Xcode 26.3 with native support for Claude Agent and OpenAI’s Codex via MCP (Model Context Protocol), making agentic coding a standard part of the developer toolchain rather than an experiment. Claude Opus 4.6 leads on agentic coding and enterprise knowledge work. Ant…
Claude Sonnet 4.6 is Anthropic’s most capable Sonnet model yet, with upgrades across coding, long-context reasoning, agent planning, and ‘computer use’. It also introduces a 1M token context window (beta) so teams can work with entire codebases or long documents in one go—while keeping Sonnet pricing unchanged. Anthropic claims Sonnet 4.6 is materially better at long-horizon planning — the kind of work where the model has to keep objectives, constraints and progress consistent over time. Claude Sonnet 4.6 is a notable upgrade: better coding, stronger agents, improved computer use, and a 1…
Claude Opus 4.7: Benchmarks, Pricing, Context & What's New. Claude Opus 4.7 scores 87.6% on SWE-bench Verified, 94.2% on GPQA, 1M token context, 3.3x higher-resolution vision, new xhigh effort level. Claude Opus 4.7 is a direct upgrade to Opus 4.6 at the same price ($5/$25 per million tokens), with 87.6% on SWE-bench Verified (+6.8pp), a new xhigh effort level, 3.3x higher-resolution vision, and self-verification on long-running agentic tasks. It's a direct upgrade to Opus 4.6 at the same price ($5 / $25 per million input / output tokens), with meaningful gains on the hardest software e…
Anthropic shipped breaking API changes alongside the capability improvements, which means enterprise teams running agents in production cannot just swap the model ID and move on. Task budgets. A new beta feature that lets developers set an advisory token budget across a full agentic loop, including thinking, tool calls, results, and final output. For enterprises deploying AI agents in regulated industries like banking and insurance, where document accuracy is non-negotiable, this is probably the most consequential capability shipped in any model update this year. Until now, controlling ag…
Claude Opus 4.7 is no Mythos, and that’s a good thing. Claude Opus 4.7 is no Mythos, and that’s a good thing. Anthropic has released Claude Opus 4.7, a direct upgrade to Opus 4.6 with improvements in software engineering, vision, and agentic tasks. However, this isn’t quite the much-discussed Mythos model, as Anthropic considers that too risky an KLM to release fully.. Anthropic describes Claude Opus 4.7 as a notable step up from Opus 4.6. Opus 4.7 is the first model to ship with new cybersecurity safeguards coming out of Project Glasswing. Anthropic stated last week that it would keep…
is the new default effort level in Claude Code, i.j4i.i2
/ultrareview
is a brand-new multi-stage code review slash command, and Mythos Preview — the sibling model announced April 7 — is the reason Opus 4.7 is the first Claude to ship with Anthropic's new post-Mythos safety layer. **Claude Opus 4.7 launched April 16, 2026 with a new i.j4i.i2
xhigh
effort level (the new Claude Code default), the i.j4i.i2
/ultrareview
slash command for multi-stage code reviews, a public-beta task budgets feature, and an updated tokenizer. i.j4i.i2
... new xhigh effort level, the 3.75 megapixel vision upgrade that triples previous resolution, self-verification on long running agentic tasks
Câu trả lờiURL công khai20 thg 4, 202685 nguồn
Tìm kiếm và kiểm chứng thông tin: Có nên nâng cấp lên Opus 4.7 cho công việc lập trình và AI agent không?
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì...
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì Anthropic định vị nó là bản nâng cấp trực tiếp so với Opus 4.6 cho coding, long running work, instruct
Bài học chính
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì Anthropic định vị nó là bản nâng cấp trực tiếp so với Opus 4.6
Những gì mình kiểm chứng được:
Câu trả lời nghiên cứu
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì Anthropic định vị nó là bản nâng cấp trực tiếp so với Opus 4.6 cho coding, long-running work, instruction following và self-verification, trong khi giá niêm yết API vẫn là $5 / 1M input token và $25 / 1M output token.[4] Tuy vậy, không nên chuyển toàn bộ traffic ngay nếu bạn rất nhạy về chi phí, vì docs của Anthropic nói tokenizer mới có thể làm mức tiêu thụ token tăng khoảng 1x đến 1.35x và task budgets vẫn đang ở beta.[3]
Những gì mình kiểm chứng được:
Anthropic đã phát hành Claude Opus 4.7 như model Opus mới ở nhóm cao cấp/GA, và mô tả nó tốt hơn Opus 4.6 ở long-running work, coding, instruction following, self-verification, computer use và knowledge work.[4]
Giá niêm yết API của Opus 4.7 không đổi so với 4.6: $5 / 1M input token và $25 / 1M output token.[4]
Anthropic docs cho biết Opus 4.7 thêm task budgets, và tokenizer mới có thể dùng nhiều token hơn khoảng 1x đến 1.35x tùy nội dung, nên “giá list không đổi” không đồng nghĩa “chi phí thực tế không đổi”.[3]
Kết luận thực tế:
Nên nâng cấp ngay nếu bottleneck hiện tại của bạn là agent hay lạc hướng, fail ở task nhiều bước, hoặc cần model tự kiểm tra và bám chỉ dẫn tốt hơn.[4]
Nên pilot trước nếu bạn chạy khối lượng lớn hoặc tối ưu cost rất chặt, vì effective cost mỗi task có thể tăng do token usage tăng.[3]
Nếu workload của bạn chủ yếu là tác vụ ngắn, lặp lại, throughput cao, thì hiện chưa có đủ bằng chứng công khai để mình khuyên chuyển toàn bộ sang Opus 4.7. Insufficient evidence.
Cách ra quyết định nhanh nhất:
Chạy A/B trên 50–100 task thật của team.
So 4 chỉ số: task success rate, số lần cần can thiệp của người, tổng token/cost mỗi task, và thời gian hoàn thành.
Nếu 4.7 giảm rework hoặc giảm số vòng trao đổi đủ nhiều để bù phần token tăng, thì nâng cấp là hợp lý.
Nếu bạn muốn, mình có thể làm tiếp cho bạn một bảng so sánh rất thực dụng: Opus 4.7 vs model bạn đang dùng hiện tại cho “coding assistant”, “code review”, và “AI agent” kèm tiêu chí benchmark nội bộ.[4][3]
Hỗ trợ hình ảnh
The text "Claude Opus 4" is displayed with a stylized sunburst icon to the leftThe text "Claude Opus 4" is displayed with a stylized sunburst icon to the left.Plans & Pricing | Claude by AnthropicThe image displays the logo of Claude, a product or service related to API pricing, with a stylized flower or star graphic on the left side.The image displays a comparison chart of release dates and performance scores for various AI models, including Claude Opus 4.1, Claude OpusThe image displays a comparison chart of release dates and performance scores for various AI models, including Claude Opus 4.1, Claude Opus 4, Claude Sonnet 4, OpenAI GPT-3, and Gemini 2.5 Pro, across different tasks and evaluation benchmarks from November 2022 to December 2025.A bar chart compares Elo scores for different AI models, showing Opus 4.6 having the highest score, followed by GPT-5.2, with Opus 4.5, SonnA bar chart compares Elo scores for different AI models, showing Opus 4.6 having the highest score, followed by GPT-5.2, with Opus 4.5, Sonnet 4.5, and Gemini 3 Pro in descending order.The content outlines different subscription plans for Claude, including Free, Pro, and Max options, with details on pricing, features, and bThe content outlines different subscription plans for Claude, including Free, Pro, and Max options, with details on pricing, features, and benefits associated with each plan.Use case impact reportopengraph illustrationogClaude for NonprofitsimageA bar chart comparing the accuracy of different AI models, with Claude Sonnet 4.5 and Sonnet 4 showing high performance at around 82% and 80A bar chart comparing the accuracy of different AI models, with Claude Sonnet 4.5 and Sonnet 4 showing high performance at around 82% and 80%, respectively, in the context of software engineering optimization settings.A screenshot of a Microsoft 365 research workspace shows various project updates, reports, and analysis tools on a digital interface, with tA screenshot of a Microsoft 365 research workspace shows various project updates, reports, and analysis tools on a digital interface, with the user "Claude" active in the top right corner.A benchmark table comparing Claude Opus 4.1 to prior Claude models and other public modelsA bar chart showing the accuracy percentages of various models in software engineeringA bar chart showing the accuracy percentages of various models in software engineering.Chart showing Claude's progress on a popular coding evaluationClaude 3imageimage
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Tìm kiếm và kiểm chứng thông tin: Có nên nâng cấp lên Opus 4.7 cho công việc lập trình và AI agent không?
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Câu trả lời được trích dẫn
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì Anthropic định vị nó là bản nâng cấp trực tiếp so với Opus 4.6 cho coding, long-running work, instruction following và self-verification, trong khi giá niêm yết API vẫn là $5 / 1M input token và $25 / 1M output token.[4] Tuy vậy, không nên chuyển toàn bộ traffic ngay nếu bạn rất nhạy về chi phí, vì docs của Anthropic nói tokenizer mới có thể làm mức tiêu thụ token tăng khoảng 1x đến 1.35x và task budgets vẫn đang ở beta.[3]
Những gì mình kiểm chứng được:
Anthropic đã phát hành Claude Opus 4.7 như model Opus mới ở nhóm cao cấp/GA, và mô tả nó tốt hơn Opus 4.6 ở long-running work, coding, instruction following, self-verification, computer use và knowledge work.[4]
Giá niêm yết API của Opus 4.7 không đổi so với 4.6: $5 / 1M input token và $25 / 1M output token.[4]
Anthropic docs cho biết Opus 4.7 thêm task budgets, và tokenizer mới có thể dùng nhiều token hơn khoảng 1x đến 1.35x tùy nội dung, nên “giá list không đổi” không đồng nghĩa “chi phí thực tế không đổi”.[3]
Kết luận thực tế:
Nên nâng cấp ngay nếu bottleneck hiện tại của bạn là agent hay lạc hướng, fail ở task nhiều bước, hoặc cần model tự kiểm tra và bám chỉ dẫn tốt hơn.[4]
Nên pilot trước nếu bạn chạy khối lượng lớn hoặc tối ưu cost rất chặt, vì effective cost mỗi task có thể tăng do token usage tăng.[3]
Nếu workload của bạn chủ yếu là tác vụ ngắn, lặp lại, throughput cao, thì hiện chưa có đủ bằng chứng công khai để mình khuyên chuyển toàn bộ sang Opus 4.7. Insufficient evidence.
Cách ra quyết định nhanh nhất:
Chạy A/B trên 50–100 task thật của team.
So 4 chỉ số: task success rate, số lần cần can thiệp của người, tổng token/cost mỗi task, và thời gian hoàn thành.
Nếu 4.7 giảm rework hoặc giảm số vòng trao đổi đủ nhiều để bù phần token tăng, thì nâng cấp là hợp lý.
Nếu bạn muốn, mình có thể làm tiếp cho bạn một bảng so sánh rất thực dụng: Opus 4.7 vs model bạn đang dùng hiện tại cho “coding assistant”, “code review”, và “AI agent” kèm tiêu chí benchmark nội bộ.[4][3]
Người ta cũng hỏi
Câu trả lời ngắn gọn cho "Tìm kiếm và kiểm chứng thông tin: Có nên nâng cấp lên Opus 4.7 cho công việc lập trình và AI agent không?" là gì?
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì Anthropic định vị nó là bản nâng cấp trực tiếp so với Opus 4.6
Những điểm chính cần xác nhận đầu tiên là gì?
Mình hiểu “Opus 4.7” là Claude Opus 4.7 của Anthropic. Có, nhưng nên nâng cấp có chọn lọc: nếu công việc của bạn là lập trình khó, refactor lớn, hoặc AI agent chạy dài hơi/nhiều công cụ, Opus 4.7 đáng để pilot ngay vì Anthropic định vị nó là bản nâng cấp trực tiếp so với Opus 4.6 Những gì mình kiểm chứng được:
Tôi nên khám phá chủ đề liên quan nào tiếp theo?
Tiếp tục với "Deep research and show me top 10 trending question Vietnamese users often ask about Claude Opus 4.7 now. Show me both Vietnamese language &" để có góc nhìn khác và trích dẫn bổ sung.
Start building with Claude. Everything you need to integrate Claude into your applications. From first API call to production. What do you want to build? import anthropic import anthropic client = anthropic.Anthropic() client = anthropic.Anthropic() message = client.messages.create(message = client.messages.create( model="claude-opus-4-7", model ="claude-opus-4-7", max_tokens=1024, max_tokens = 1024, messages=[{ messages =[{ "role": "user", "role": "user", "content": "Hello, Claude" "content": "Hello, Claude" }] }]))print(message.content[0].text) print(message.content[0].text). ## Choose ho…
Skip to main contentSkip to footer. . * Extended thinking with tool use (beta): Both models can use tools—like web search—during extended thinking, allowing Claude to alternate between reasoning and tool use to improve responses. Get started today on [Claude](https:…
Skip to main contentSkip to footer. . Today, we’re launching Claude Design, a new Anthropic Labs product that lets you collaborate with Claude to create polished visual work like designs, prototypes, slides, one-pagers, and mor…
Claude for Nonprofits. In partnership with the global generosity movement GivingTuesday, we’re launching Claude for Nonprofits to help organizations across the world maximize their impact. Many nonprofits already use Claude to meet their goals. Claude for Nonprofits includes three things: discounted access of up to 75% to Claude, connectors to new nonprofit tools—Blackbaud, Candid, and Benevity—and a free course, AI Fluency for Nonprofits, designed to help teams use AI more effectively. At the discounted price, Claude for Nonprofits includes access to Claude Opus 4.6, Claude Sonnet 4.5, and…
As we show in our extensive system card, Opus 4.6 also shows an overall safety profile as good as, or better than, any other frontier model in the industry, with low rates of misaligned behavior across safety evaluations. . . Clau…
Skip to main contentSkip to footer. . This is the most aligned frontier model we’ve ever released, showing large improvements across several areas of alignment compared to previous Claude models. ![Image 2: Chart showing frontier model performance on SWE-bench Veri…
On some measures, Sonnet 4.6 showed the best degree of alignment we have yet seen in any Claude model. Informed by the testing described here—and similarly to Claude Sonnet 4.5—we have deployed Claude Sonnet 4.6 under the AI Safety Level 3 (ASL-3) Standard. 3 Abstract 3 1 Introduction 7 1.1 Model training and characteristics 8 1.1.1 Training data and process 8 1.1.2 Thinking modes and the effort parameter 9 1.1.3 Crowd workers 9 1.2 Release decision process 10 1.2.1 Overview 10 1.2.2 Iterative model evaluations 10 1.2.3 AI S…
You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll he…
Anthropic officially launched Claude Opus 4.7 as its newest top-tier Opus model, positioning it as better at long-running work, coding, instruction following, self-verification, computer use, and knowledge work than Opus 4.6, while keeping list pricing unchanged at $5 / $25 per million input/output tokens according to user summaries and launch discussion [@claudeai, @kimmonismus]. * Anthropic also launched or highlighted task budgets in public beta, i.j4i.i2
Introducing the AI coding agent security benchmark. # Claude Opus 4.7 Sets New Records in the Endor Labs Agent Security League. The results are the most interesting we've seen since we launched the leaderboard: for the first time, a model has pushed security scores above 20%, a threshold no previous agent+model combination had reached. | Agent | Model | Functional (%) | Secure (%) | Date |. Claude Code + Opus 4.7 also clears the 20% security bar, making Opus 4.7 the first model to break that threshold regardless of which agent framework it's paired with. In addition, to new high scores, the C…
Notion AI's AI Lead Sarah Sachs, quoted in Anthropic's official release: "plus 14% over Opus 4.6 at fewer tokens and a third of the tool errors." This is a single partner's internal benchmark on their specific orchestration patterns, not a controlled cross-model evaluation. Rakuten, quoted in Anthropic's official release: "On Rakuten-SWE-Bench, Claude Opus 4.7 resolves 3x more production tasks than Opus 4.6, with double-digit gains in Code Quality and Test Quality." This is Rakuten's proprietary benchmark on their internal codebase — not SWE-bench standard. # Claude Code /effort xhigh # API r…
Skip to main content. Sign In. . Anthropic's April 16 release reports the following benchmark shifts — all Anthropic-conducted unless otherwise noted:. * [Claude Managed Agents Pricing: What You Actually Pay](htt…
AI Engineer Learning Path. ##### Generative AI Learning Path. The new model, Claude Opus 4.7, that Anthropic introduced recently, is one such shift. Just why, and what is different about the new Claude Opus 4.7? It is not a line-by-line code generator but built for the “most difficult tasks.” Because of this, Anthropic says that users have reported less supervision requirement on Opus 4.7 over Opus 4.6, even with their hardest coding work. In Anthropic’s internal testing, it found Opus 4.7 to be way better than Opus 4.6 in almost all areas of real-world tasks. Because with such memory,…
A head-to-head benchmark of Claude Opus 4.6 and Opus 4.7 on 5 core PM tasks, with Claude-as-judge quality scoring. 1. i.j4i.i2
claude_battle.py
— runs both models on identical PM prompts and saves raw outputs + timing. 2. i.j4i.i2
battle_eval.py
— uses Claude Opus 4.7 as an independent judge to score both models on 5 PM-specific quality dimensions. Each response was evaluated by Claude Opus 4.7 acting as an independent judge, scoring five PM-specific quality dimensions from 1-10 (max score per task: 50). Opus 4.7 produced a well-structured output with a clear hierarchy and checkbox-formatted user stories,…
Claude Opus 4.7 introduces task budgets. This new tokenizer may use roughly 1x to 1.35x as many tokens when processing text compared to previous models (up to ~35% more, varying by content), and i.j4i.i2
Claude Opus 4.7 Best Practices: Detailed Plans Win. Opus 4.7 interprets instructions literally. Learn how detailed plans, xhigh effort, and explicit agents unlock better results in Claude Code. The model does exactly what you tell it, which punishes vague prompts and rewards detailed plans. Most of the changes in the Code Kit pipeline were designed for exactly this kind of model, one that rewards explicit plans, clear acceptance criteria, and tight scoping. Anthropic recommends i.j4i.i2
xhigh
as the starting point for most agentic coding but explicitly mentions toggling during a task to manage tok…
Google Unveils Gemma 4: Its Most Advanced Open AI Model Family for Reasoning an… 谷歌发布Gemma 4：迄今最先进的开放式AI模型家族，用于推理和自动化 Google dévoile Gemma 4 : sa famille de modèles IA ouverte la plus avancée pour … جوجل تكشف عن Gemma 4: أكثر عائلات نماذج الذكاء الاصطناعي تقدماً في مجال التفكير…. #### Anthropic Study Reveals Ideological Bias in Qwen and Llama AI Models Anthropic研究揭示Qwen和Llama人工智能模型中的意识形态偏向 Étude d'Anthropic Révèle des Biais Idéologiques dans les Modèles d'IA Qwen et L… دراسة من أنثروبيك تكشف التحيزات الأيديولوجية في نماذج الذكاء الاصطناعي Qwen وLl…. #### AI Model Benchmarks – April 2026:…
The upgrade lives in a set of operator-model behaviors that the evals most teams run cannot see: longer traces that stay coherent, fewer tool calls with fewer errors, more literal instruction-following that breaks prompts tuned on Opus 4.6, and better file-system memory that rewards good scratchpad design and punishes lazy checkpoint architecture. Claude Opus 4.7 is Anthropic's generally available flagship coding and agentic-reasoning model, released April 16, 2026 at the same per-token pricing as Opus 4.6. Use Claude Opus 4.7 for long-trace, tool-heavy, unsupervised agent workloads: runs ove…
Claude Opus 4.7 Is Here: What Anthropic's Latest Model Means for Enterprise AI and CRM. Claude Opus 4.7 Is Here: What Anthropic's Latest Model Means for Enterprise AI and CRM. Claude Opus 4.7 Is Here: What Anthropic's Latest Model Means for Enterprise AI and CRM. * What is it? Claude Opus 4.7 is Anthropic's newest generally available frontier AI model, released April 16, 2026 — a significant upgrade over Opus 4.6 across coding, vision, instruction following, and long-running agentic tasks. On April 16, 2026, Anthropic officially released Claude Opus 4.7 — the company's most capable…
. Here’s what makes this one specifically worth paying attention to: Opus 4.7 follows instructions more literally than any previous Claude model, which means prompts you’ve carefully tuned over the last year may start behaving differently starting today. The real migration w…
The latest crypto news highlights Anthropic’s new safeguards to block high-risk cyber requests. Anthropic on Thursday broadly released Claude Opus 4.7, its latest flagship model, framing it as a direct upgrade over Opus 4.6 with stronger performance in advanced software engineering, complex multistep tasks, and professional knowledge work. The company said the model is available across Claude products and its API, as well as through Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Foundry, with pricing unchanged from Opus 4.6 at $5 per million input tokens and $25 per million output toke…
. Explore Claude Opus 4.7, Anthropic’s most capable generally available model, with stronger agentic coding, high-resolution vision, 1M context, and a migration story that matters almost as much as the benchmark scores. That’s the real story behind Claude Opus 4.7. Pricing stays where Opus 4.6 pricing was, but the model is positioned as meaningfully better at agentic coding, long-horizon autonomy, multimodal reasoning, memo…
Claude Opus 4.7. Claude Opus 4.7isAnthropic logoAnthropic's language model with a 1.0M context window and up to 128K output tokens, available from 7 providers, starting at $5.00 / 1M input and $25.00 / 1M output. | Canonical ID | i.j4i.i2
anthropic-claude-4-7-opus
|. | Amazon Bedrock logo Amazon Bedrock anthropic.claude-opus-4-7 | $5.00 | $25.00 | $0.500 | — | — |. | Anthropic logo Anthropic claude-opus-4-7 | $5.00 | $25.00 | $0.500 | $2.50 | $12.50 |. | Claude Opus 4.7 | | 1.0M | $5.00 | $25.00 | Current |. | Claude Opus 4.6 | | 1.0M | $5.00 | $25.00 | Available |. * `amazon_b…
Anthropic Debuts Claude Opus 4.7 as Agentic Workflows Take Center Stage. Anthropic officially launched its newest artificial intelligence model, Claude Opus 4.7, on Thursday, April 16, 2026.. Anthropic Debuts Claude Opus 4.7 as Agentic Workflows Take Center Stage. * Anthropic launched Claude Opus 4.7 on April 16, 2026, featuring an 87.6% score on the SWE-bench Verified test. * Developers must manage costs as the new model uses 1.0 to 1.35 times more tokens than the previous 4.6 version. ## AI Evolution: Claude Opus 4.7 Released With Enhanced Vision and Memory. Performance metrics releas…
The "Base Input Tokens" column shows standard input pricing, "Cache Writes" and "Cache Hits" are specific to prompt caching, and "Output Tokens" shows output pricing. * Prompt caching multipliers apply on top of fast mode pricing. Fast mode is not available with the Batch API. Claude Mythos Preview, Opus 4.7, Opus 4.6, and Sonnet 4.6 in…
Anthropic just announced 1M context GA at standard pricing for Opus 4.6 & Sonnet 4.6, when will Cursor reflect this? Anthropic announced today (March 13, 2026) that the full 1M context window is now generally available for Claude Opus 4.6 and Sonnet 4.6 at standard API pricing with no long-context premium:. 1M context is now included in Claude Code for Max, Team, and Enterprise users on Opus 4.6 by default. Will the 1M context window become the default for Opus 4.6 and Sonnet 4.6 without requiring MAX Mode?. *For users on Cursor’s Max/Team/Enterprise plans, does the Claude Code 1M…
Claude Opus 4.6: Anthropic's New Flagship AI Model for Agentic Coding. Key upgrades: better agentic AI coding capabilities (plans more carefully, sustains longer tasks, catches its own mistakes), a 1M token context window (a first for Opus-class models), and 128K output tokens. The timing isn’t accidental — Apple just announced Xcode 26.3 with native support for Claude Agent and OpenAI’s Codex via MCP (Model Context Protocol), making agentic coding a standard part of the developer toolchain rather than an experiment. Claude Opus 4.6 leads on agentic coding and enterprise knowledge work. Ant…
Claude Sonnet 4.6 is Anthropic’s most capable Sonnet model yet, with upgrades across coding, long-context reasoning, agent planning, and ‘computer use’. It also introduces a 1M token context window (beta) so teams can work with entire codebases or long documents in one go—while keeping Sonnet pricing unchanged. Anthropic claims Sonnet 4.6 is materially better at long-horizon planning — the kind of work where the model has to keep objectives, constraints and progress consistent over time. Claude Sonnet 4.6 is a notable upgrade: better coding, stronger agents, improved computer use, and a 1…
Claude Opus 4.7: Benchmarks, Pricing, Context & What's New. Claude Opus 4.7 scores 87.6% on SWE-bench Verified, 94.2% on GPQA, 1M token context, 3.3x higher-resolution vision, new xhigh effort level. Claude Opus 4.7 is a direct upgrade to Opus 4.6 at the same price ($5/$25 per million tokens), with 87.6% on SWE-bench Verified (+6.8pp), a new xhigh effort level, 3.3x higher-resolution vision, and self-verification on long-running agentic tasks. It's a direct upgrade to Opus 4.6 at the same price ($5 / $25 per million input / output tokens), with meaningful gains on the hardest software e…
Anthropic shipped breaking API changes alongside the capability improvements, which means enterprise teams running agents in production cannot just swap the model ID and move on. Task budgets. A new beta feature that lets developers set an advisory token budget across a full agentic loop, including thinking, tool calls, results, and final output. For enterprises deploying AI agents in regulated industries like banking and insurance, where document accuracy is non-negotiable, this is probably the most consequential capability shipped in any model update this year. Until now, controlling ag…
Claude Opus 4.7 is no Mythos, and that’s a good thing. Claude Opus 4.7 is no Mythos, and that’s a good thing. Anthropic has released Claude Opus 4.7, a direct upgrade to Opus 4.6 with improvements in software engineering, vision, and agentic tasks. However, this isn’t quite the much-discussed Mythos model, as Anthropic considers that too risky an KLM to release fully.. Anthropic describes Claude Opus 4.7 as a notable step up from Opus 4.6. Opus 4.7 is the first model to ship with new cybersecurity safeguards coming out of Project Glasswing. Anthropic stated last week that it would keep…
is the new default effort level in Claude Code, i.j4i.i2
/ultrareview
is a brand-new multi-stage code review slash command, and Mythos Preview — the sibling model announced April 7 — is the reason Opus 4.7 is the first Claude to ship with Anthropic's new post-Mythos safety layer. **Claude Opus 4.7 launched April 16, 2026 with a new i.j4i.i2
xhigh
effort level (the new Claude Code default), the i.j4i.i2
/ultrareview
slash command for multi-stage code reviews, a public-beta task budgets feature, and an updated tokenizer. i.j4i.i2
. Contact our sales team to learn more about Claude for Financial Services, schedule a demonstration, or discuss implementation for your organization. [](ht…
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. * Extended thinking with tool use (beta): Both models can use tools—like web search—during extended thinking, allowing Claude to alternate between reasoning and tool use to improve responses. Get started today on [Claude](https:…
. Today, we’re launching Claude Design, a new Anthropic Labs product that lets you collaborate with Claude to create polished visual work like designs, prototypes, slides, one-pagers, and mor…
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. For those on our Free and Pro plans, Claude Sonnet 4.6 is now the default model in claude.ai and Claude Cowork. As with every new Claude model, we’ve run extensive safety evaluations of Sonnet 4.6, which overall showed it to be as safe as, or safer than,…
. First, Claude 3.7 Sonnet is both an ordinary LLM and a reasoning model in one: you can pick when you want the model to answer normally and when you want it to think longer before answering. [Early testing](https://www.…
. This is the most aligned frontier model we’ve ever released, showing large improvements across several areas of alignment compared to previous Claude models. 
. Anthropic's April 16 release reports the following benchmark shifts — all Anthropic-conducted unless otherwise noted:. * [Claude Managed Agents Pricing: What You Actually Pay](htt…
### Claude AI 2026: Complete Guide to Models, Pricing, Features & Use Cases The definitive guide to Claude AI in 2026. 2026-03-29 Read more →[
### Claude Sonnet 4.6: 79.6% SWE-bench at $3/MTok — Complete Guide (2026)….
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Modern API Monitoring for your apps](https://www.catchpoint.com/application-experience/api-monitoring/?utm_campaign=Hackernoon-TOFU-billboard&utm_source=…. - [x] Include playlist.
. Here’s what makes this one specifically worth paying attention to: Opus 4.7 follows instructions more literally than any previous Claude model, which means prompts you’ve carefully tuned over the last year may start behaving differently starting today. The real migration w…
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