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Model details

Claude Opus 4.1

Claude Opus 4.1 belongs to Anthropic's Opus family of large language models and is cataloged by third-party directories alongside other Claude variants ranging from earlier releases through newer Sonnet entries. The model is positioned at the high end of Anthropic's lineup for computationally intensive workloads, taking its place above Sonnet-class models in capability tier. Despite its "1" suffix designator suggesting an incremental step in the Opus series, the pricing tier places it as a flagship-tier offering designed for demanding agentic and analytical tasks that benefit from extended reasoning capacity.

On Anthropic's official pricing page, Claude Opus 4.1 is explicitly annotated as deprecated, with a direct link to the model deprecations policy documentation indicating its position in the retirement lifecycle. The deprecated status makes it a transitional choice: teams should weigh continued use against newer Opus variants like 4.5 through 4.8, which carry the same $5/MTok input and $25/MTok output pricing. For workflows already integrated with the model, prompt caching support remains available, though the deprecation notice signals that long-term production planning should anticipate migration to a successor variant within the Opus lineage.

Azure Cognitive Servicesclaude-opus-4-1claude-opus

Quick Info

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Provider
Azure Cognitive Services
Model key
claude-opus-4-1
Release date
Nov 18, 2025
Last updated
Nov 18, 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

Compare Claude Opus 4.1 pricing

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

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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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