Advanced Coding
Handles complex software engineering tasks including multi-file refactoring and bug fixing, scoring 74.5% on SWE-bench Verified.
Claude Opus 4.1 is Anthropic's flagship text generation model, released on August 5, 2025 as an upgrade to Claude Opus 4. It is designed for demanding workflows that require sustained reasoning across long, multi-step tasks, with particular strength in software development, autonomous research, and agentic problem solving. The model supports a 200,000-token context window, up to 32,000 output tokens, and accepts both text and image inputs. It is multilingual, with documented support for French, Arabic, Mandarin, Japanese, Korean, Spanish, and Hindi. On the SWE-bench Verified benchmark for real-world software bug fixing, Claude Opus 4.1 scores 74.5%, and it delivers a one standard deviation improvement over Opus 4 on Windsurf's junior developer benchmark for autonomous coding tasks. It supports extended thinking with up to 64,000 reasoning tokens, enabling deeper deliberation on complex problems. The model is available through the Anthropic API, Claude Code, Amazon Bedrock, and Google Cloud Vertex AI, making it suited for developers, researchers, and enterprises running complex multi-file code refactoring, long-horizon agent workflows, and in-depth research synthesis.
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A fuller summary of positioning, capabilities, and source-specific details for Claude 4.1 Opus.
Claude Opus 4.1 is Anthropic's flagship text generation model, released on August 5, 2025 as an upgrade to Claude Opus 4. It is designed for demanding workflows that require sustained reasoning across long, multi-step tasks, with particular strength in software development, autonomous research, and agentic problem solving. The model supports a 200,000-token context window, up to 32,000 output tokens, and accepts both text and image inputs. It is multilingual, with documented support for French, Arabic, Mandarin, Japanese, Korean, Spanish, and Hindi.
On the SWE-bench Verified benchmark for real-world software bug fixing, Claude Opus 4.1 scores 74.5%, and it delivers a one standard deviation improvement over Opus 4 on Windsurf's junior developer benchmark for autonomous coding tasks. It supports extended thinking with up to 64,000 reasoning tokens, enabling deeper deliberation on complex problems. The model is available through the Anthropic API, Claude Code, Amazon Bedrock, and Google Cloud Vertex AI, making it suited for developers, researchers, and enterprises running complex multi-file code refactoring, long-horizon agent workflows, and in-depth research synthesis.
Handles complex software engineering tasks including multi-file refactoring and bug fixing, scoring 74.5% on SWE-bench Verified.
Supports up to 64,000 tokens of extended reasoning, allowing the model to deliberate more deeply on complex, multi-step problems.
Runs long-horizon autonomous workflows with fewer errors, achieving a one standard deviation improvement over Opus 4 on Windsurf's junior developer benchmark.
Processes up to 200,000 tokens of input context, enabling analysis of large codebases, lengthy documents, or extended conversation histories in a single pass.
Accepts image inputs alongside text, allowing the model to analyze diagrams, screenshots, and other visual content within a prompt.
Handles multiple languages including French, Arabic, Mandarin, Japanese, Korean, Spanish, and Hindi.
Performs agentic search and detail tracking across sources such as patent databases, academic papers, and market reports to synthesize insights independently.
Generates responses of up to 32,000 output tokens, supporting long-form documents, detailed code files, and extended analytical reports.
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Anthropic and OpenAI move deeper into real workflows.
Anthropic and OpenAI move deeper into real workflows.
OpenAI and Anthropic move deeper into real workflows.
OpenAI and Hugging Face move deeper into real workflows.
Claude 4.1 Opus discussions are most active in r/singularity. Top Reddit threads cluster around benchmark and model-comparison threads. The strongest match in this snapshot has 340 upvotes and 80 comments.
"GDPval, the first version of this evaluation, spans 44 occupations selected from the top 9 industries contributing to U.S. GDP. The GDPval full set includes 1,320 specialized tasks (220 in the gold open-sourced set), each meticulously crafted and vetted by experienced professionals with over 14 years of experience on average from these fields. Every task is based on real work products, such as a legal brief, an engineering blueprint, a customer support conversation, or a nursing care plan."
The benchmark measures win rates against the output of human professionals (with the little blue lines representing ties). In other words, when this benchmark gets maxed out, we may be in the end-game for our current economic system.
Which brings up into the third place.
Claude Opus 4.1 supports a 200,000-token context window, with a maximum output of 32,000 tokens per response.
The model ID is claude-opus-4-1-20250805. You can find the full list of available model identifiers in Anthropic's API Model Reference documentation.
API pricing for Claude Opus 4.1 is listed on Anthropic's pricing page at anthropic.com/pricing#api.
The model's training date is listed as August 2025. For precise knowledge cutoff details, refer to the System Card or API documentation provided by Anthropic.
Claude Opus 4.1 is available through the Anthropic API, Claude Code, Amazon Bedrock, and Google Cloud Vertex AI.
Yes. Claude Opus 4.1 supports extended thinking with up to 64,000 reasoning tokens, which allows the model to work through complex problems with deeper deliberation before producing a response.
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