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Model details

Claude Opus 4.1

Claude Opus 4.1 builds on its predecessor's hybrid reasoning architecture to deliver measurably stronger results across coding, research, and complex problem-solving. The model achieves 74.5% on SWE-bench Verified, representing a substantial leap in its ability to handle multi-step programming challenges that mirror real-world software development. This iteration was designed as a drop-in replacement for Opus 4, maintaining the thoughtful architecture of the previous generation while pushing performance forward on agentic tasks that require sustained attention to detail across large, intricate codebases.

The improvements in Opus 4.1 extend into practical enterprise workflows, with GitHub highlighting gains in multi-file code refactoring and Rakuten Group noting its precision in identifying exact corrections without introducing unnecessary changes or bugs. Windsurf's junior developer benchmark captures a roughly one standard deviation improvement over Opus 4, comparable to the jump from Sonnet 3.7 to Sonnet 4. The model has been deployed across major development environments including Visual Studio, JetBrains IDEs, Xcode, and Eclipse through GitHub Copilot, making it accessible for everyday debugging and maintenance tasks. Companies using it for complex data analysis and in-depth research have found enhanced detail tracking and agentic search capabilities particularly valuable for sustained, rigorous workflows.

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Provider
OpenCode Zen
Model key
claude-opus-4-1
Release date
Aug 5, 2025
Last updated
Aug 5, 2025
Knowledge cutoff
2025-03-31
AI SDK package
@ai-sdk/anthropic
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$15.00
Output token cost
$75.00

Limits

Output tokens
32,000 tokens
Context window
200,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Claude Opus 4.1

FastRouter

CoverageBenchmark

Emergent Mind aggregates independent academic evaluations of Claude Opus 4.1 (claude-opus-4-1), positioning it as a large multimodal vision-language model from Anthropic. Two large-scale benchmarking studies, dated September 29 and September 30, 2025, examine the model in high-stakes professional contexts including exp The aggregated findings report Opus 4.1 achieved a mean diagnostic accuracy of 0.01 (1%) on the RadLE v1 benchmark of 50 expert-level spot-diagnosis medical imaging cases, statistically indistinguishable from chance. Reported comparator means include board-certified radiologists at 0.83, radiology trainees at 0.45, GPT

Azure Cognitive Services

Coverage

Overchat AI's hub article, last updated September 13, 2026, characterizes Claude Opus 4.1 as an incremental drop-in replacement for Opus 4 rather than a generational leap. It surfaces specifications not detailed in other candidates: a 200,000-token context window, 32,000-token output limit, and an expanded thinking cap Beyond benchmarks, Overchat notes Windsurf's internal testing showed the Opus 4 to 4.1 jump equates to a full standard deviation gain on their junior developer benchmark—the same magnitude Windsurf saw between Sonnet 3.7 and Sonnet 4—suggesting real-world gains may exceed what the public metrics indicate. Access surfac

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