Tìm kiếm và kiểm chứng thông tin: Opus 4.7 có code ổn định hơn và ít cần giám sát hơn thật không?
Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineer...
Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineering, đặc biệt ở các tác vụ coding dài và phức tạp, và mô tả người dùng thử sớm có thể giao những bài co
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Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineering, đặc biệt ở các tác vụ coding dài và phức tạp, và mô tả ngư
Điều ủng hộ nhận định này:
Câu trả lời nghiên cứu
Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineering, đặc biệt ở các tác vụ coding dài và phức tạp, và mô tả người dùng thử sớm có thể giao những bài coding khó vốn trước đây cần giám sát chặt hơn cho model này.[5][6]
Điều ủng hộ nhận định này:
Anthropic mô tả Opus 4.7 xử lý tác vụ dài với độ chặt chẽ và nhất quán cao hơn, bám chỉ dẫn tốt hơn, và tự kiểm tra đầu ra trước khi trả lời, nên luận điểm “code ổn định hơn” có cơ sở.[5]
Release notes của Claude cũng ghi Opus 4.7 có cải thiện trong software engineering và các tác vụ coding dài, phức tạp.[6]
Một số tổng hợp kỹ thuật công khai tóm tắt thêm rằng 4.7 có chất lượng trên mỗi tool call cao hơn, ít bị loop hơn, và hồi phục tốt hơn khi tool lỗi giữa chừng.[15]
Một tổng hợp khác dẫn eval đối tác cho biết 4.7 cao hơn 4.6 khoảng 14%, dùng ít token hơn, và chỉ khoảng một phần ba lỗi tool trong workflow cụ thể.[14]
Điều còn thiếu:
Phần lớn bằng chứng công khai hiện nay vẫn là từ Anthropic hoặc từ bài tổng hợp dựa trên eval nội bộ/đối tác, không phải thử nghiệm độc lập diện rộng.[5][14][15]
Tôi chưa thấy benchmark công khai, chuẩn hóa nào đo trực tiếp “mức cần giám sát của con người” trên cùng một bộ task thực tế. Vì vậy, nếu hiểu “ít cần giám sát hơn” theo nghĩa rất chặt, thì bằng chứng hiện có vẫn chưa đủ mạnh để khẳng định cho mọi team và mọi codebase.[5][14][15]
Kết luận thực tế:
Nếu hỏi “có dấu hiệu thật là ổn định hơn và đỡ phải micromanage hơn không?”, câu trả lời là có.[5][6][14][15]
Nếu hỏi “đã được kiểm chứng độc lập mạnh chưa?”, câu trả lời là chưa; hiện vẫn thiếu bằng chứng bên thứ ba đủ mạnh.[5][14][15]
Cách tự kiểm nhanh nhất cho team của bạn:
A/B Opus 4.6 vs 4.7 trên 50–100 ticket thật.
Đo 5 chỉ số: pass rate, số lần human intervention, retry/tool-error rate, số patch bị revert, và time-to-merge.
Nếu muốn, tôi có thể làm luôn cho bạn một checklist benchmark ngắn để tự test “ít cần giám sát hơn” trên repo của bạn.
Hỗ trợ hình ảnh
Google and Pentagon Discuss Classified AI Deal as Company Rebuilds Military TiesTunnelTunnel. Optical illusion. Abstract striped background. Vector illustration.Introducing Claude Opus 4.7 \ AnthropicA stylized illustration of a human head with interconnected nodes on one side and abstract, squiggly lines and dots on a grid background on the other, referencing AI models and creative tools like Claude Opus 4.7 and Bolt.new.Introducing Claude Opus 4.7 \ AnthropicA line graph compares the coding performance scores of Anthropic's Opus 4.7 and Opus 4.6 models across various effort levels, showing that Opus 4.7 consistently outperforms Opus 4.6, especially at higher effort levels.6fe7e77d 1e7d 49f7 a7d7 a12a49816e5cUntitled design 2026 04 16T204501.427anth5anth9anth16anth6anth14anth13anth15anth9Knowledge Hub MediaClaude Opus 4.7 launchInnovationExplainedBannerImage 1024x372Knowledge Hub Media
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Tìm kiếm và kiểm chứng thông tin: Opus 4.7 có code ổn định hơn và ít cần giám sát hơn thật không?
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Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineering, đặc biệt ở các tác vụ coding dài và phức tạp, và mô tả người dùng thử sớm có thể giao những bài coding khó vốn trước đây cần giám sát chặt hơn cho model này.[5][6]
Điều ủng hộ nhận định này:
Anthropic mô tả Opus 4.7 xử lý tác vụ dài với độ chặt chẽ và nhất quán cao hơn, bám chỉ dẫn tốt hơn, và tự kiểm tra đầu ra trước khi trả lời, nên luận điểm “code ổn định hơn” có cơ sở.[5]
Release notes của Claude cũng ghi Opus 4.7 có cải thiện trong software engineering và các tác vụ coding dài, phức tạp.[6]
Một số tổng hợp kỹ thuật công khai tóm tắt thêm rằng 4.7 có chất lượng trên mỗi tool call cao hơn, ít bị loop hơn, và hồi phục tốt hơn khi tool lỗi giữa chừng.[15]
Một tổng hợp khác dẫn eval đối tác cho biết 4.7 cao hơn 4.6 khoảng 14%, dùng ít token hơn, và chỉ khoảng một phần ba lỗi tool trong workflow cụ thể.[14]
Điều còn thiếu:
Phần lớn bằng chứng công khai hiện nay vẫn là từ Anthropic hoặc từ bài tổng hợp dựa trên eval nội bộ/đối tác, không phải thử nghiệm độc lập diện rộng.[5][14][15]
Tôi chưa thấy benchmark công khai, chuẩn hóa nào đo trực tiếp “mức cần giám sát của con người” trên cùng một bộ task thực tế. Vì vậy, nếu hiểu “ít cần giám sát hơn” theo nghĩa rất chặt, thì bằng chứng hiện có vẫn chưa đủ mạnh để khẳng định cho mọi team và mọi codebase.[5][14][15]
Kết luận thực tế:
Nếu hỏi “có dấu hiệu thật là ổn định hơn và đỡ phải micromanage hơn không?”, câu trả lời là có.[5][6][14][15]
Nếu hỏi “đã được kiểm chứng độc lập mạnh chưa?”, câu trả lời là chưa; hiện vẫn thiếu bằng chứng bên thứ ba đủ mạnh.[5][14][15]
Cách tự kiểm nhanh nhất cho team của bạn:
A/B Opus 4.6 vs 4.7 trên 50–100 ticket thật.
Đo 5 chỉ số: pass rate, số lần human intervention, retry/tool-error rate, số patch bị revert, và time-to-merge.
Nếu muốn, tôi có thể làm luôn cho bạn một checklist benchmark ngắn để tự test “ít cần giám sát hơn” trên repo của bạn.
Người ta cũng hỏi
Câu trả lời ngắn gọn cho "Tìm kiếm và kiểm chứng thông tin: Opus 4.7 có code ổn định hơn và ít cần giám sát hơn thật không?" là gì?
Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineering, đặc biệt ở các tác vụ coding dài và phức tạp, và mô tả ngư
Những điểm chính cần xác nhận đầu tiên là gì?
Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineering, đặc biệt ở các tác vụ coding dài và phức tạp, và mô tả ngư Điều ủng hộ nhận định này:
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.
The new AI model promises sharper coding skills, faster performance, and expanded enterprise use as it rolls out to developers and businesses worldwide. According to Anthropic’s official announcement, Opus 4.7 “handles complex, long-running tasks with rigor and consistency, pays precise attention to instructions, and devises ways to verify its own outputs before reporting back.” Users have reported that they can now hand off their most challenging coding assignments—the kind that once demanded close human supervision—to Opus 4.7 with newfound confidence. For now, Opus 4.7 serves as the flagsh…
Anthropic Releases Claude Opus 4.7 and Signals a Push Into Visual Productivity Tools. Anthropic has announced Claude Opus 4.7, an updated artificial intelligence model that the company says is better at software engineering and difficult coding tasks. The release follows reports of leaked internal documents that suggested the company was also preparing a new visual productivity or design tool, which would be Anthropic’s first move into that category. The company said Opus 4.7 improves on earlier models, but is still "broadly less capable" than its most powerful system, Claude Mythos Preview…
Anthropic Releases Claude Opus 4.7 With Major Upgrades for Agentic AI Workflows. Anthropic has released Claude Opus 4.7, a significant update aimed at teams building long‑running, autonomous AI workflows. The new model delivers stronger performance in advanced software engineering, multimodal reasoning, and strict instruction adherence—capabilities that matter when AI agents must operate reliably across multi‑step tasks without supervision. Anthropic notes that teams migrating from Opus 4.6 should expect stricter instruction‑following behavior and may need to adjust prompts accordingly. Opu…
Anthropic describes Claude Opus 4.7 as the most capable model for complex reasoning and agentic coding. Anthropic launched Claude Opus 4.7 on April 16, 2026, calling it its most capable generally available model, with major gains in advanced software engineering, instruction following, long-running tasks, and high-resolution vision. **Anthropicrecommendsit for long-horizon agentic work, knowledge work, vision tasks, and memory-heavy tasks.**That makes it especially relevant for developers, product teams, analysts, legal and finance workflows, AI startups, research teams, and enterpris…
All Rights Reserved, IE Media, Inc. Access expert insights, exclusive content, and a deeper dive into engineering and innovation all with fewer ads or a completely ad-free experience. Claude Opus 4.7 improves software engineering, image analysis, and long-task reliability with tighter instruction following. Anthropic has released its latest flagship AI model, Claude Opus 4.7, marking a step forward in advanced coding and multimodal capabilities. The company positions the model as more reliable for complex, long-duration tasks, especially in software engineering. The company states, “although…
Anthropic has released Claude Opus 4.7, its most capable public model to date, with what the AI company says is better “vision” (it can read text at a higher resolution), improved instruction following on long-form coding tasks, and better aesthetic taste when making slide decks and web interfaces. Today Anthropic launched Claude Design, a dedicated app powered by its latest model, Claude Opus 4.7, that lets users use text prompts to build website designs, user interface prototypes, presentations, and marketing materials. Today Anthropic launched Claude Design, a dedicated app powered by its…
Claude Opus 4.7: Everything You Need to Know About Anthropic’s Latest AI Model. Claude Opus 4.7 is the newest and most capable publicly available AI model from Anthropic, released on April 16, 2026. * Benchmark-leading coding performance: Opus 4.7 scores 64.3% on SWE-bench Pro and 87.6% on SWE-bench Verified, outperforming both GPT-5.4 and Gemini 3.1 Pro on the software engineering tasks that matter most to developers, according to Anthropic’s official announcement. * New cybersecurity safeguards: Anthropic is using Opus 4.7 as a testbed for safety mechanisms it plans to eventually…
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
Anthropic Unveils Opus 4.7: A Leap in AI Coding and Vision. Anthropic unveils its updated Opus 4.7 AI model, boasting enhanced coding and computer vision capabilities, with a key focus on cybersecurity. Bloomberg Tech segment discussing Anthropic's new AI model, Opus 4.7. The company has unveiled its Opus 4.7 model, a substantial upgrade that promises to push the boundaries of what AI can achieve, particularly in the realms of coding and computer vision. Anthropic Releases AI Model With Weaker Cyber Skills Than Mythos - Bloomberg Technology. Anthropic Releases AI Model With Weaker Cyber Ski…
Anthropic has launched Claude Opus 4.7, its latest flagship model that brings a notable improvement in advanced software engineering and upgraded high-resolution vision. Coming two months after the release of Claude Sonnet 4.6, the new model builds on that foundation with stronger performance on complex, long-running tasks that previously required closer supervision. That is a clear jump from the 53.4% seen in the previous 4.6 version and places it ahead of OpenAI's [GPT-5.4](http…
Anthropic releases Claude Opus 4.7 with benchmark-leading coding and agentic performance. Anthropic releases Claude Opus 4.7 with benchmark-leading coding and agentic performance. *In short: Anthropic has released Claude Opus 4.7, its most capable generally available model, with benchmark-leading scores on SWE-bench Pro (64.3% vs GPT-5.4’s 57.7%), multi-agent coordination for hours-long workflows, 3x higher image resolution, and a 14% improvement in multi-step agentic reasoning with a third of the tool errors. Anthropic has released Claude Opus 4.7, its most capable generally available mode…
The release is about agent reliability, not just capability. Anthropic’s own framing emphasizes that Opus 4.7 achieves the highest quality-per-tool-call ratio they’ve measured, with markedly lower rates of looping and better recovery from mid-run tool failures. For software engineers shipping production AI features — especially anyone running coding agents, code review pipelines, or multi-step autonomous workflows — the changes in Opus 4.7 map directly onto the failure modes that actually waste engineering time. Run a shadow evaluation on your existing agent traces before flipping pro…
Claude Opus 4.7: Anthropic’s New Best (Available) Model. Anthropic has released Claude Opus 4.7, the latest iteration of its flagship model tier. As a general reminder, if you are using Opus in Claude.ai: Every message you send includes the whole conversation so far (your new question + all earlier back-and-forth) plus the model's reply. In Claude Code, the default effort level has been raised to i.j4i.i2
xhigh
across all plans, and Anthropic recommends starting with i.j4i.i2
high
or i.j4i.i2
xhigh
when testing Opus 4.7 on coding and agentic tasks. Mythos Preview is Anthropic's internal frontier model, more cap…
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,…
AI. * Claude. * Anthropic. Anthropic has announced its latest AI model with Claude Opus 4.7. Claude Opus 4.7 is the latest generally available version of Anthropic’s main AI model with a focus on advanced software development. However, Mythos isn’t generally available like Opus 4.7 since Anthropic is only sharing it with key software platform vendors like A…
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…
Can Claude Opus 4.7 and Ensemble AI Models Finally Make Code Review Reliable? # Can Claude Opus 4.7 and Ensemble AI Models Finally Make Code Review Reliable? Can Claude Opus 4.7 and Ensemble AI Models Finally Make Code Review Reliable? # Can Claude Opus 4.7 and Ensemble AI Models Finally Make Code Review Reliable? CodeRabbit has integrated Claude Opus 4.7 into its AI code review engine, using an ensemble of frontier models to target gaps that human reviewers often miss, such as subtle race conditions and deep-file bugs . According to Futurum Group's 1H 2026 Software Engineering Decision Maker…
Claude Opus 4.7 benchmarks show an 87.6% SWE-bench surge with strong coding gains, tool use leadership, and latest AI performance insights for 2026. Claude Opus 4.7 benchmarks explained also highlight 64.3% on SWE-bench Pro, beating GPT-5.4 and Gemini 3.1 Pro. Tool use leads at 77.3% on MCP-Atlas. Overall, Claude Opus 4.7 benchmarks explained show a focused upgrade for coding, automation, and real-world AI agents. ## Claude Opus 4.7 Benchmarks Explained: Why coding performance is the headline improvement. ## Claude Opus 4.7 benchmarks explained: What do they mean for real-world AI agents? Is…
Skip to main contentIntroducing Claude Opus 4.7, our most capable Opus model yet. Open menu Open navigationGo to Reddit Home. Get App Get the Reddit app Log InLog in to Reddit. Go to ClaudeAI…
Claude Opus 4.5 Launch: #1 in Coding, 1/3 the Price. Anthropic’s new flagship Claude Opus 4.7 is here — +13% on a 93-task coding benchmark, 3× production tasks on Rakuten-SWE-Bench, new xhigh effort level, ultrareview in Claude Code. from openai import OpenAI from openai import OpenAI client = OpenAI(client = OpenAI( api_key="your-apiyi-key", api_key ="your-apiyi-key", base_url="https://api.apiyi.com/v1" base_url ="https://api.apiyi.com/v1")) response = client.chat.completions.create(response = client.chat.completions.create( model="claude-opus-4-7", model ="claude-opus-4-7", messages=[ mes…
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…
Claude Opus 4.7 benchmarks explained also highlight 64.3% on SWE-bench Pro, beating GPT-5.4 and Gemini 3.1 Pro. Tool use leads at 77.3% on MCP-Atlas. Overall, Claude Opus 4.7 benchmarks explained show a focused upgrade for coding, automation, and real-world AI agents. Claude Opus 4.7 benchmarks show an 87.6% SWE-bench surge with strong coding gains, tool use leadership, and latest AI performance insights for 2026. ## Claude Opus 4.7 Benchmarks Explained: Why coding performance is the headline improvement. ## Claude Opus 4.7 benchmarks explained: What do they mean for real-world AI agents? Is…
. 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…
Claude Opus 4.7 is Now on Overchat AI — Anthropic's Most Advanced AI Model. # Claude Opus 4.7 is Now on Overchat AI — Anthropic's Most Advanced AI Model. Anthropic released Claude Opus 4.7 on April 16, 2026, and it's a direct upgrade to Opus 4.6 that pushes the model's lead in coding and agentic work further than expected. ## Claude Opus 4.7 vs Other AI Models. * The tokenizer changed. Despite identical per-token rates, the new tokenizer maps the same text to 1.0–1.35× more tokens, and the model thinks more at higher effort levels — which means that in practice Claude Opus 4.7 is more exp…
Claude Opus 4.7 Released: Anthropic's Best Coding AI Yet in 2026. ### Claude Opus 4.7 Released: Anthropic's Best Coding AI Yet in 2026. # Claude Opus 4.7 Released: Anthropic's Best Coding AI Yet in 2026. # Claude Opus 4.7 just dropped— Anthropic's most powerful public AI model is here, and it's built for real work. Anthropic Launches Claude Opus 4.7 (Best AI Model Yet). Claude Cowork — Anthropic's agentic AI for knowledge work. Whether you're refactoring large codebases, building autonomous agents, analyzing high-res images and documents, or running persistent workflows, Claude Opus 4.7 makes…
Claude Opus 4.7 is now Anthropic's stronger default Opus route for teams doing harder coding, longer agentic work, and higher-resolution vision tasks, but it is not a blind same-price swap from Claude Opus 4.6. The fast answer is to move to Opus 4.7 if you want the stronger coding and reasoning profile now, stage the migration if prompt stability or cost forecasting matters, and keep Opus 4.6 as a baseline while you validate edge-case workflows before replacing defaults everywhere. Anthropic kept Opus 4.7 at the same official i.j4i.i2
$5/$25
per-million-token list price as Opus 4.6, but its migratio…
Head-to-head comparison of Claude Opus 4.7 vs Opus 4.6: benchmark deltas, pricing, effort levels, vision, tokenizer, and a migration checklist. Opus 4.7 wins 12 of 14 reported benchmarks at the same $5/$25 price. Claude Opus 4.7 beats Opus 4.6 on 12 of 14 reported benchmarks at the same $5 / $25 per million-token price. It beats 4.6 on 12 of 14 reported benchmarks, adds a new xhigh effort level, sees images at 3.3× higher resolution, follows instructions more literally, and introduces self-verification on long-running agentic work. The differences are operational — new effort level, u…
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…
Second, we’re adding new capabilities for life sciences: connecting Claude to more scientific platforms, and helping it provide greater support in areas ranging from clinical trial management to regulatory operations. With these model improvements and our new tools, Claude is now dramatically more useful for real-world healthcare and life sciences tasks. Since HIPAA-compliant organizations can now use Claude for Enterprise, they can also access existing healthcare-related connectors, including PubMed, which provides access to more than 35 million pieces of biomedical literature and allows…
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:…
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. . ![Image 3: Bar chart comparing Opus 4.6 to other models on Deep…
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…
We analyzed millions of human-agent interactions across both Claude Code and our public API using our privacy-preserving tool, to ask: How much autonomy do people grant agents? Our central conclusion is that effective oversight of agents will require new forms of post-deployment monitoring infrastructure and new human-AI interaction paradigms that help both the human and the AI manage autonomy and risk together. From August to December, Claude Code’s success rate on internal users’ most challenging tasks doubled, at the same time that the average number of human interventions per session de…
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 is about to be released: 5 key insights interpreted from the Vertex AI leak and The Information report. On April 16, 2026, a user spotted an unreleased model ID in the quota management page of the Google Vertex AI console: base_model: anthropic-claude-opus-4-7. | Vertex AI Backend | 2026-04-16 | i.j4i.i2
anthropic-claude-opus-4-7
model ID appeared | ⭐⭐⭐⭐ High |. Vertex AI API EU multi-region online prediction input tokens per minute per base model base_model: anthropic-claude-opus-4-7. > Anthropic is preparing to release Claude Opus 4.7 and an AI design tool based on natural l…
Claude Opus 4.7 ships 87.6% on SWE-bench Verified, a new tokenizer, xhigh effort, and four API breaking changes. create( model="claude-opus-4-7", model = "claude-opus-4-7 ", max_tokens=64000, max_tokens = 64000, output_config={"effort": "xhigh"}, output_config ={" effort ": " xhigh "}, messages=[{"role": "user", "content": "Refactor this service layer."}], messages =[{" role ": " user ", " content ": "Refactor this service layer. create( model="claude-opus-4-7", model = "claude-opus-4-7 ", max_tokens=128000, max_tokens = 128000, output_config={ output_config ={ "effort": "high", " effort ": "…
The Message Batches API is a powerful, cost-effective way to asynchronously process large volumes of Messages requests. When you send a request to the Message Batches API:. Test your batch requests with the Messages API. {{ "id": "msgbatch_01HkcTjaV5uDC8jWR4ZsDV8d", "id": "msgbatch_01HkcTjaV5uDC8jWR4ZsDV8d", "type": "message_batch", "type": "message_batch", "processing_status": "in_progress", "processing_status": "in_progress", "request_counts": { "request_counts": { "processing": 2, "processing": 2, "succeeded": 0, "succeeded": 0, "errored": 0, "errored": 0, "canceled": 0, "canceled": 0,…
In the system card, we describe: a wide range of pre-deployment safety tests conducted in line with the commitments in our Responsible Scaling Policy; tests of the model’s behavior around violations of our Usage Policy; evaluations of speci fi c risks such as “reward hacking” behavior; and agentic safety evaluations for computer use and coding capabilities. This determination re fl ects our overall assessment that, whereas both models are generally more capable than Claude Sonnet 3.7, Claude Opus 4 showed signi fi cantly improved capabilities in the RSP domains of concern. Whereas both models…
Enabling Claude Code to work more autonomously. Enabling Claude Code to work more autonomously. We’re introducing several upgrades to Claude Code: a native VS Code extension, version 2.0 of our terminal interface, and checkpoints for autonomous operation. Powered by Sonnet 4.5, Claude Code now handles longer, more complex development tasks in your terminal and IDE. ## Claude Code on more surfaces. The extension provides a richer, graphical Claude Code experience for users who prefer to work in IDEs over terminals. We’ve also refreshed Claude Code’s terminal interface. As Claude Code takes o…
It then describes a wide range of safety evaluations: tests of model safeguards (including new, higher-dif fi culty assessments); user wellbeing evaluations; assessments of honesty and agentic safety; a comprehensive alignment assessment including investigations of reward hacking, sabotage capability, evaluation awareness, model welfare, and many other factors; and a set of evaluations for dangerous capabilities mandated by our Responsible Scaling Policy. The model shows signi fi cant improvements in long-context reasoning, knowledge work, research, and analysis; it has also increased its cap…
While we do not have broad-coverage assessments of the sabotage-relevant tasks that models can and cannot do in the absence of extended thinking, this nonetheless gives us a fairly strong reason to believe that Claude Opus 4.6 should be signi fi cantly less capable at sabotage-related reasoning, where we observe that it does not use extended thinking or other outward methods of reasoning, than at most other complex tasks, where it bene fi ts from extended thinking and from being able to build strategies by trial and error through non-covert actions. This is also weaker evidence that Claude Op…
The following are summaries of key safety evaluations from our Claude Sonnet 4.6 system card. The following are summaries of key safety evaluations from our Claude Opus 4.6 system card. Additional evaluations were conducted as part of our safety process; for our complete publicly reported evaluation results, please refer to the full system card. We tested Claude…
. We recently argued that an inflection point had been reached in cybersecurity: a point at which AI models had become genuinely useful for cybersecurity operations, both for good and for ill. The threat actor—whom we assess with high confidence was a Chinese state-sponsored group—manipulated our [Claude Code](https://www.claude.com/produc…
Câu trả lờiURL công khai20 thg 4, 202669 nguồn
Tìm kiếm và kiểm chứng thông tin: Opus 4.7 có code ổn định hơn và ít cần giám sát hơn thật không?
Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineer...
Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineering, đặc biệt ở các tác vụ coding dài và phức tạp, và mô tả người dùng thử sớm có thể giao những bài co
Bài học chính
Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineering, đặc biệt ở các tác vụ coding dài và phức tạp, và mô tả ngư
Điều ủng hộ nhận định này:
Câu trả lời nghiên cứu
Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineering, đặc biệt ở các tác vụ coding dài và phức tạp, và mô tả người dùng thử sớm có thể giao những bài coding khó vốn trước đây cần giám sát chặt hơn cho model này.[5][6]
Điều ủng hộ nhận định này:
Anthropic mô tả Opus 4.7 xử lý tác vụ dài với độ chặt chẽ và nhất quán cao hơn, bám chỉ dẫn tốt hơn, và tự kiểm tra đầu ra trước khi trả lời, nên luận điểm “code ổn định hơn” có cơ sở.[5]
Release notes của Claude cũng ghi Opus 4.7 có cải thiện trong software engineering và các tác vụ coding dài, phức tạp.[6]
Một số tổng hợp kỹ thuật công khai tóm tắt thêm rằng 4.7 có chất lượng trên mỗi tool call cao hơn, ít bị loop hơn, và hồi phục tốt hơn khi tool lỗi giữa chừng.[15]
Một tổng hợp khác dẫn eval đối tác cho biết 4.7 cao hơn 4.6 khoảng 14%, dùng ít token hơn, và chỉ khoảng một phần ba lỗi tool trong workflow cụ thể.[14]
Điều còn thiếu:
Phần lớn bằng chứng công khai hiện nay vẫn là từ Anthropic hoặc từ bài tổng hợp dựa trên eval nội bộ/đối tác, không phải thử nghiệm độc lập diện rộng.[5][14][15]
Tôi chưa thấy benchmark công khai, chuẩn hóa nào đo trực tiếp “mức cần giám sát của con người” trên cùng một bộ task thực tế. Vì vậy, nếu hiểu “ít cần giám sát hơn” theo nghĩa rất chặt, thì bằng chứng hiện có vẫn chưa đủ mạnh để khẳng định cho mọi team và mọi codebase.[5][14][15]
Kết luận thực tế:
Nếu hỏi “có dấu hiệu thật là ổn định hơn và đỡ phải micromanage hơn không?”, câu trả lời là có.[5][6][14][15]
Nếu hỏi “đã được kiểm chứng độc lập mạnh chưa?”, câu trả lời là chưa; hiện vẫn thiếu bằng chứng bên thứ ba đủ mạnh.[5][14][15]
Cách tự kiểm nhanh nhất cho team của bạn:
A/B Opus 4.6 vs 4.7 trên 50–100 ticket thật.
Đo 5 chỉ số: pass rate, số lần human intervention, retry/tool-error rate, số patch bị revert, và time-to-merge.
Nếu muốn, tôi có thể làm luôn cho bạn một checklist benchmark ngắn để tự test “ít cần giám sát hơn” trên repo của bạn.
Hỗ trợ hình ảnh
Google and Pentagon Discuss Classified AI Deal as Company Rebuilds Military TiesTunnelTunnel. Optical illusion. Abstract striped background. Vector illustration.Introducing Claude Opus 4.7 \ AnthropicA stylized illustration of a human head with interconnected nodes on one side and abstract, squiggly lines and dots on a grid background on the other, referencing AI models and creative tools like Claude Opus 4.7 and Bolt.new.Introducing Claude Opus 4.7 \ AnthropicA line graph compares the coding performance scores of Anthropic's Opus 4.7 and Opus 4.6 models across various effort levels, showing that Opus 4.7 consistently outperforms Opus 4.6, especially at higher effort levels.6fe7e77d 1e7d 49f7 a7d7 a12a49816e5cUntitled design 2026 04 16T204501.427anth5anth9anth16anth6anth14anth13anth15anth9Knowledge Hub MediaClaude Opus 4.7 launchInnovationExplainedBannerImage 1024x372Knowledge Hub Media
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Tìm kiếm và kiểm chứng thông tin: Opus 4.7 có code ổn định hơn và ít cần giám sát hơn thật không?
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Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineering, đặc biệt ở các tác vụ coding dài và phức tạp, và mô tả người dùng thử sớm có thể giao những bài coding khó vốn trước đây cần giám sát chặt hơn cho model này.[5][6]
Điều ủng hộ nhận định này:
Anthropic mô tả Opus 4.7 xử lý tác vụ dài với độ chặt chẽ và nhất quán cao hơn, bám chỉ dẫn tốt hơn, và tự kiểm tra đầu ra trước khi trả lời, nên luận điểm “code ổn định hơn” có cơ sở.[5]
Release notes của Claude cũng ghi Opus 4.7 có cải thiện trong software engineering và các tác vụ coding dài, phức tạp.[6]
Một số tổng hợp kỹ thuật công khai tóm tắt thêm rằng 4.7 có chất lượng trên mỗi tool call cao hơn, ít bị loop hơn, và hồi phục tốt hơn khi tool lỗi giữa chừng.[15]
Một tổng hợp khác dẫn eval đối tác cho biết 4.7 cao hơn 4.6 khoảng 14%, dùng ít token hơn, và chỉ khoảng một phần ba lỗi tool trong workflow cụ thể.[14]
Điều còn thiếu:
Phần lớn bằng chứng công khai hiện nay vẫn là từ Anthropic hoặc từ bài tổng hợp dựa trên eval nội bộ/đối tác, không phải thử nghiệm độc lập diện rộng.[5][14][15]
Tôi chưa thấy benchmark công khai, chuẩn hóa nào đo trực tiếp “mức cần giám sát của con người” trên cùng một bộ task thực tế. Vì vậy, nếu hiểu “ít cần giám sát hơn” theo nghĩa rất chặt, thì bằng chứng hiện có vẫn chưa đủ mạnh để khẳng định cho mọi team và mọi codebase.[5][14][15]
Kết luận thực tế:
Nếu hỏi “có dấu hiệu thật là ổn định hơn và đỡ phải micromanage hơn không?”, câu trả lời là có.[5][6][14][15]
Nếu hỏi “đã được kiểm chứng độc lập mạnh chưa?”, câu trả lời là chưa; hiện vẫn thiếu bằng chứng bên thứ ba đủ mạnh.[5][14][15]
Cách tự kiểm nhanh nhất cho team của bạn:
A/B Opus 4.6 vs 4.7 trên 50–100 ticket thật.
Đo 5 chỉ số: pass rate, số lần human intervention, retry/tool-error rate, số patch bị revert, và time-to-merge.
Nếu muốn, tôi có thể làm luôn cho bạn một checklist benchmark ngắn để tự test “ít cần giám sát hơn” trên repo của bạn.
Người ta cũng hỏi
Câu trả lời ngắn gọn cho "Tìm kiếm và kiểm chứng thông tin: Opus 4.7 có code ổn định hơn và ít cần giám sát hơn thật không?" là gì?
Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineering, đặc biệt ở các tác vụ coding dài và phức tạp, và mô tả ngư
Những điểm chính cần xác nhận đầu tiên là gì?
Giả sử bạn đang nói về Claude Opus 4.7 của Anthropic: có, nhưng mới ở mức “có tín hiệu khá mạnh”, chưa phải đã được kiểm chứng độc lập rất chắc. Anthropic nói Opus 4.7 cải thiện so với Opus 4.6 trong software engineering, đặc biệt ở các tác vụ coding dài và phức tạp, và mô tả ngư Điều ủng hộ nhận định này:
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.
The new AI model promises sharper coding skills, faster performance, and expanded enterprise use as it rolls out to developers and businesses worldwide. According to Anthropic’s official announcement, Opus 4.7 “handles complex, long-running tasks with rigor and consistency, pays precise attention to instructions, and devises ways to verify its own outputs before reporting back.” Users have reported that they can now hand off their most challenging coding assignments—the kind that once demanded close human supervision—to Opus 4.7 with newfound confidence. For now, Opus 4.7 serves as the flagsh…
Anthropic Releases Claude Opus 4.7 and Signals a Push Into Visual Productivity Tools. Anthropic has announced Claude Opus 4.7, an updated artificial intelligence model that the company says is better at software engineering and difficult coding tasks. The release follows reports of leaked internal documents that suggested the company was also preparing a new visual productivity or design tool, which would be Anthropic’s first move into that category. The company said Opus 4.7 improves on earlier models, but is still "broadly less capable" than its most powerful system, Claude Mythos Preview…
Anthropic Releases Claude Opus 4.7 With Major Upgrades for Agentic AI Workflows. Anthropic has released Claude Opus 4.7, a significant update aimed at teams building long‑running, autonomous AI workflows. The new model delivers stronger performance in advanced software engineering, multimodal reasoning, and strict instruction adherence—capabilities that matter when AI agents must operate reliably across multi‑step tasks without supervision. Anthropic notes that teams migrating from Opus 4.6 should expect stricter instruction‑following behavior and may need to adjust prompts accordingly. Opu…
Anthropic describes Claude Opus 4.7 as the most capable model for complex reasoning and agentic coding. Anthropic launched Claude Opus 4.7 on April 16, 2026, calling it its most capable generally available model, with major gains in advanced software engineering, instruction following, long-running tasks, and high-resolution vision. **Anthropicrecommendsit for long-horizon agentic work, knowledge work, vision tasks, and memory-heavy tasks.**That makes it especially relevant for developers, product teams, analysts, legal and finance workflows, AI startups, research teams, and enterpris…
All Rights Reserved, IE Media, Inc. Access expert insights, exclusive content, and a deeper dive into engineering and innovation all with fewer ads or a completely ad-free experience. Claude Opus 4.7 improves software engineering, image analysis, and long-task reliability with tighter instruction following. Anthropic has released its latest flagship AI model, Claude Opus 4.7, marking a step forward in advanced coding and multimodal capabilities. The company positions the model as more reliable for complex, long-duration tasks, especially in software engineering. The company states, “although…
Anthropic has released Claude Opus 4.7, its most capable public model to date, with what the AI company says is better “vision” (it can read text at a higher resolution), improved instruction following on long-form coding tasks, and better aesthetic taste when making slide decks and web interfaces. Today Anthropic launched Claude Design, a dedicated app powered by its latest model, Claude Opus 4.7, that lets users use text prompts to build website designs, user interface prototypes, presentations, and marketing materials. Today Anthropic launched Claude Design, a dedicated app powered by its…
Claude Opus 4.7: Everything You Need to Know About Anthropic’s Latest AI Model. Claude Opus 4.7 is the newest and most capable publicly available AI model from Anthropic, released on April 16, 2026. * Benchmark-leading coding performance: Opus 4.7 scores 64.3% on SWE-bench Pro and 87.6% on SWE-bench Verified, outperforming both GPT-5.4 and Gemini 3.1 Pro on the software engineering tasks that matter most to developers, according to Anthropic’s official announcement. * New cybersecurity safeguards: Anthropic is using Opus 4.7 as a testbed for safety mechanisms it plans to eventually…
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
Anthropic Unveils Opus 4.7: A Leap in AI Coding and Vision. Anthropic unveils its updated Opus 4.7 AI model, boasting enhanced coding and computer vision capabilities, with a key focus on cybersecurity. Bloomberg Tech segment discussing Anthropic's new AI model, Opus 4.7. The company has unveiled its Opus 4.7 model, a substantial upgrade that promises to push the boundaries of what AI can achieve, particularly in the realms of coding and computer vision. Anthropic Releases AI Model With Weaker Cyber Skills Than Mythos - Bloomberg Technology. Anthropic Releases AI Model With Weaker Cyber Ski…
Anthropic has launched Claude Opus 4.7, its latest flagship model that brings a notable improvement in advanced software engineering and upgraded high-resolution vision. Coming two months after the release of Claude Sonnet 4.6, the new model builds on that foundation with stronger performance on complex, long-running tasks that previously required closer supervision. That is a clear jump from the 53.4% seen in the previous 4.6 version and places it ahead of OpenAI's [GPT-5.4](http…
Anthropic releases Claude Opus 4.7 with benchmark-leading coding and agentic performance. Anthropic releases Claude Opus 4.7 with benchmark-leading coding and agentic performance. *In short: Anthropic has released Claude Opus 4.7, its most capable generally available model, with benchmark-leading scores on SWE-bench Pro (64.3% vs GPT-5.4’s 57.7%), multi-agent coordination for hours-long workflows, 3x higher image resolution, and a 14% improvement in multi-step agentic reasoning with a third of the tool errors. Anthropic has released Claude Opus 4.7, its most capable generally available mode…
The release is about agent reliability, not just capability. Anthropic’s own framing emphasizes that Opus 4.7 achieves the highest quality-per-tool-call ratio they’ve measured, with markedly lower rates of looping and better recovery from mid-run tool failures. For software engineers shipping production AI features — especially anyone running coding agents, code review pipelines, or multi-step autonomous workflows — the changes in Opus 4.7 map directly onto the failure modes that actually waste engineering time. Run a shadow evaluation on your existing agent traces before flipping pro…
Claude Opus 4.7: Anthropic’s New Best (Available) Model. Anthropic has released Claude Opus 4.7, the latest iteration of its flagship model tier. As a general reminder, if you are using Opus in Claude.ai: Every message you send includes the whole conversation so far (your new question + all earlier back-and-forth) plus the model's reply. In Claude Code, the default effort level has been raised to i.j4i.i2
xhigh
across all plans, and Anthropic recommends starting with i.j4i.i2
high
or i.j4i.i2
xhigh
when testing Opus 4.7 on coding and agentic tasks. Mythos Preview is Anthropic's internal frontier model, more cap…
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,…
AI. * Claude. * Anthropic. Anthropic has announced its latest AI model with Claude Opus 4.7. Claude Opus 4.7 is the latest generally available version of Anthropic’s main AI model with a focus on advanced software development. However, Mythos isn’t generally available like Opus 4.7 since Anthropic is only sharing it with key software platform vendors like A…
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…
Can Claude Opus 4.7 and Ensemble AI Models Finally Make Code Review Reliable? # Can Claude Opus 4.7 and Ensemble AI Models Finally Make Code Review Reliable? Can Claude Opus 4.7 and Ensemble AI Models Finally Make Code Review Reliable? # Can Claude Opus 4.7 and Ensemble AI Models Finally Make Code Review Reliable? CodeRabbit has integrated Claude Opus 4.7 into its AI code review engine, using an ensemble of frontier models to target gaps that human reviewers often miss, such as subtle race conditions and deep-file bugs . According to Futurum Group's 1H 2026 Software Engineering Decision Maker…
Claude Opus 4.7 benchmarks show an 87.6% SWE-bench surge with strong coding gains, tool use leadership, and latest AI performance insights for 2026. Claude Opus 4.7 benchmarks explained also highlight 64.3% on SWE-bench Pro, beating GPT-5.4 and Gemini 3.1 Pro. Tool use leads at 77.3% on MCP-Atlas. Overall, Claude Opus 4.7 benchmarks explained show a focused upgrade for coding, automation, and real-world AI agents. ## Claude Opus 4.7 Benchmarks Explained: Why coding performance is the headline improvement. ## Claude Opus 4.7 benchmarks explained: What do they mean for real-world AI agents? Is…
Skip to main contentIntroducing Claude Opus 4.7, our most capable Opus model yet. Open menu Open navigationGo to Reddit Home. Get App Get the Reddit app Log InLog in to Reddit. Go to ClaudeAI…
Claude Opus 4.5 Launch: #1 in Coding, 1/3 the Price. Anthropic’s new flagship Claude Opus 4.7 is here — +13% on a 93-task coding benchmark, 3× production tasks on Rakuten-SWE-Bench, new xhigh effort level, ultrareview in Claude Code. from openai import OpenAI from openai import OpenAI client = OpenAI(client = OpenAI( api_key="your-apiyi-key", api_key ="your-apiyi-key", base_url="https://api.apiyi.com/v1" base_url ="https://api.apiyi.com/v1")) response = client.chat.completions.create(response = client.chat.completions.create( model="claude-opus-4-7", model ="claude-opus-4-7", messages=[ mes…
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…
Claude Opus 4.7 benchmarks explained also highlight 64.3% on SWE-bench Pro, beating GPT-5.4 and Gemini 3.1 Pro. Tool use leads at 77.3% on MCP-Atlas. Overall, Claude Opus 4.7 benchmarks explained show a focused upgrade for coding, automation, and real-world AI agents. Claude Opus 4.7 benchmarks show an 87.6% SWE-bench surge with strong coding gains, tool use leadership, and latest AI performance insights for 2026. ## Claude Opus 4.7 Benchmarks Explained: Why coding performance is the headline improvement. ## Claude Opus 4.7 benchmarks explained: What do they mean for real-world AI agents? Is…
. 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…
Claude Opus 4.7 is Now on Overchat AI — Anthropic's Most Advanced AI Model. # Claude Opus 4.7 is Now on Overchat AI — Anthropic's Most Advanced AI Model. Anthropic released Claude Opus 4.7 on April 16, 2026, and it's a direct upgrade to Opus 4.6 that pushes the model's lead in coding and agentic work further than expected. ## Claude Opus 4.7 vs Other AI Models. * The tokenizer changed. Despite identical per-token rates, the new tokenizer maps the same text to 1.0–1.35× more tokens, and the model thinks more at higher effort levels — which means that in practice Claude Opus 4.7 is more exp…
Claude Opus 4.7 Released: Anthropic's Best Coding AI Yet in 2026. ### Claude Opus 4.7 Released: Anthropic's Best Coding AI Yet in 2026. # Claude Opus 4.7 Released: Anthropic's Best Coding AI Yet in 2026. # Claude Opus 4.7 just dropped— Anthropic's most powerful public AI model is here, and it's built for real work. Anthropic Launches Claude Opus 4.7 (Best AI Model Yet). Claude Cowork — Anthropic's agentic AI for knowledge work. Whether you're refactoring large codebases, building autonomous agents, analyzing high-res images and documents, or running persistent workflows, Claude Opus 4.7 makes…
Claude Opus 4.7 is now Anthropic's stronger default Opus route for teams doing harder coding, longer agentic work, and higher-resolution vision tasks, but it is not a blind same-price swap from Claude Opus 4.6. The fast answer is to move to Opus 4.7 if you want the stronger coding and reasoning profile now, stage the migration if prompt stability or cost forecasting matters, and keep Opus 4.6 as a baseline while you validate edge-case workflows before replacing defaults everywhere. Anthropic kept Opus 4.7 at the same official i.j4i.i2
$5/$25
per-million-token list price as Opus 4.6, but its migratio…
Head-to-head comparison of Claude Opus 4.7 vs Opus 4.6: benchmark deltas, pricing, effort levels, vision, tokenizer, and a migration checklist. Opus 4.7 wins 12 of 14 reported benchmarks at the same $5/$25 price. Claude Opus 4.7 beats Opus 4.6 on 12 of 14 reported benchmarks at the same $5 / $25 per million-token price. It beats 4.6 on 12 of 14 reported benchmarks, adds a new xhigh effort level, sees images at 3.3× higher resolution, follows instructions more literally, and introduces self-verification on long-running agentic work. The differences are operational — new effort level, u…
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…
Second, we’re adding new capabilities for life sciences: connecting Claude to more scientific platforms, and helping it provide greater support in areas ranging from clinical trial management to regulatory operations. With these model improvements and our new tools, Claude is now dramatically more useful for real-world healthcare and life sciences tasks. Since HIPAA-compliant organizations can now use Claude for Enterprise, they can also access existing healthcare-related connectors, including PubMed, which provides access to more than 35 million pieces of biomedical literature and allows…
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:…
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. . ![Image 3: Bar chart comparing Opus 4.6 to other models on Deep…
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…
We analyzed millions of human-agent interactions across both Claude Code and our public API using our privacy-preserving tool, to ask: How much autonomy do people grant agents? Our central conclusion is that effective oversight of agents will require new forms of post-deployment monitoring infrastructure and new human-AI interaction paradigms that help both the human and the AI manage autonomy and risk together. From August to December, Claude Code’s success rate on internal users’ most challenging tasks doubled, at the same time that the average number of human interventions per session de…
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 is about to be released: 5 key insights interpreted from the Vertex AI leak and The Information report. On April 16, 2026, a user spotted an unreleased model ID in the quota management page of the Google Vertex AI console: base_model: anthropic-claude-opus-4-7. | Vertex AI Backend | 2026-04-16 | i.j4i.i2
anthropic-claude-opus-4-7
model ID appeared | ⭐⭐⭐⭐ High |. Vertex AI API EU multi-region online prediction input tokens per minute per base model base_model: anthropic-claude-opus-4-7. > Anthropic is preparing to release Claude Opus 4.7 and an AI design tool based on natural l…
Claude Opus 4.7 ships 87.6% on SWE-bench Verified, a new tokenizer, xhigh effort, and four API breaking changes. create( model="claude-opus-4-7", model = "claude-opus-4-7 ", max_tokens=64000, max_tokens = 64000, output_config={"effort": "xhigh"}, output_config ={" effort ": " xhigh "}, messages=[{"role": "user", "content": "Refactor this service layer."}], messages =[{" role ": " user ", " content ": "Refactor this service layer. create( model="claude-opus-4-7", model = "claude-opus-4-7 ", max_tokens=128000, max_tokens = 128000, output_config={ output_config ={ "effort": "high", " effort ": "…
The Message Batches API is a powerful, cost-effective way to asynchronously process large volumes of Messages requests. When you send a request to the Message Batches API:. Test your batch requests with the Messages API. {{ "id": "msgbatch_01HkcTjaV5uDC8jWR4ZsDV8d", "id": "msgbatch_01HkcTjaV5uDC8jWR4ZsDV8d", "type": "message_batch", "type": "message_batch", "processing_status": "in_progress", "processing_status": "in_progress", "request_counts": { "request_counts": { "processing": 2, "processing": 2, "succeeded": 0, "succeeded": 0, "errored": 0, "errored": 0, "canceled": 0, "canceled": 0,…
In the system card, we describe: a wide range of pre-deployment safety tests conducted in line with the commitments in our Responsible Scaling Policy; tests of the model’s behavior around violations of our Usage Policy; evaluations of speci fi c risks such as “reward hacking” behavior; and agentic safety evaluations for computer use and coding capabilities. This determination re fl ects our overall assessment that, whereas both models are generally more capable than Claude Sonnet 3.7, Claude Opus 4 showed signi fi cantly improved capabilities in the RSP domains of concern. Whereas both models…
Enabling Claude Code to work more autonomously. Enabling Claude Code to work more autonomously. We’re introducing several upgrades to Claude Code: a native VS Code extension, version 2.0 of our terminal interface, and checkpoints for autonomous operation. Powered by Sonnet 4.5, Claude Code now handles longer, more complex development tasks in your terminal and IDE. ## Claude Code on more surfaces. The extension provides a richer, graphical Claude Code experience for users who prefer to work in IDEs over terminals. We’ve also refreshed Claude Code’s terminal interface. As Claude Code takes o…
It then describes a wide range of safety evaluations: tests of model safeguards (including new, higher-dif fi culty assessments); user wellbeing evaluations; assessments of honesty and agentic safety; a comprehensive alignment assessment including investigations of reward hacking, sabotage capability, evaluation awareness, model welfare, and many other factors; and a set of evaluations for dangerous capabilities mandated by our Responsible Scaling Policy. The model shows signi fi cant improvements in long-context reasoning, knowledge work, research, and analysis; it has also increased its cap…
While we do not have broad-coverage assessments of the sabotage-relevant tasks that models can and cannot do in the absence of extended thinking, this nonetheless gives us a fairly strong reason to believe that Claude Opus 4.6 should be signi fi cantly less capable at sabotage-related reasoning, where we observe that it does not use extended thinking or other outward methods of reasoning, than at most other complex tasks, where it bene fi ts from extended thinking and from being able to build strategies by trial and error through non-covert actions. This is also weaker evidence that Claude Op…
The following are summaries of key safety evaluations from our Claude Sonnet 4.6 system card. The following are summaries of key safety evaluations from our Claude Opus 4.6 system card. Additional evaluations were conducted as part of our safety process; for our complete publicly reported evaluation results, please refer to the full system card. We tested Claude…
. We recently argued that an inflection point had been reached in cybersecurity: a point at which AI models had become genuinely useful for cybersecurity operations, both for good and for ill. The threat actor—whom we assess with high confidence was a Chinese state-sponsored group—manipulated our [Claude Code](https://www.claude.com/produc…
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. 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)…
Hackernoon. [
Modern API Monitoring for your apps](https://www.catchpoint.com/application-experience/api-monitoring/?utm_campaign=Hackernoon-TOFU-billboard&utm_source=…
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. 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…
Gemini 3.1 Pro Preview (02/26) 78.80%± 1.83 $0.78 312.26 s. 2 
GPT 5.4 78.20%± 1.85 $0.80 307.12 s. [3 ![Image 3: Anthropic]…
. * 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:…
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. If you’re a developer, simply use 
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. This is the most aligned frontier model we’ve ever released, showing large improvements across several areas of alignment compared to previous Claude models. 
. 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,…
. * Availability in GitHub Copilot. * Enabling access. * [Learn more](https://github.blog/changelog/2026-04-16-claude-opus…
. Anthropic has [consistently supported](https://www.anthropic.com/news/securing-america-s-compute-advantage-anthropic-s-po…