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Model details

Anthropic: Claude Opus 4.1

Claude Opus 4.1 stands as Anthropic's most advanced flagship model, built to handle the most demanding AI workloads across enterprise environments. Designed with a focus on agentic capabilities, the model excels at multi-file code refactoring and complex reasoning tasks that require sustained attention across long contexts. Its architecture prioritizes the kind of nuanced understanding needed for advanced software engineering work, making it particularly effective for developers and technical teams seeking a model that can handle intricate, multi-step coding challenges with precision and consistency.

The model draws on established evaluation frameworks, having been tested against previous generations including Sonnet 3.5 and Sonnet 4.0 baselines, where it demonstrated measurable improvements in benchmark performance. Organizations evaluating the model for production deployment have examined its tool usage patterns, latency characteristics, and error rates to assess migration feasibility for existing workflows. Claude Opus 4.1 is accessible through multiple deployment pathways including API integration, Amazon Bedrock, and Google Cloud Vertex AI, positioning it as a versatile choice for teams requiring robust AI assistance across varied infrastructure setups.

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Quick Info

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Provider
Helicone
Model key
claude-opus-4-1
Release date
Aug 5, 2025
Last updated
Aug 5, 2025
Knowledge cutoff
2025-08
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 Anthropic: 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 Anthropic: Claude Opus 4.1

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CoverageBenchmark

Roboflow's model playground page explicitly names Anthropic's Claude Opus 4.1 as the upgraded flagship of the Claude 4 family, released in August 2025, and reports concrete technical details including 74.5% on SWE-Bench Verified (up from Opus 4's 72.5%), multimodal support for text/code/tool use, and large context wind The preserved legacy vision evaluations show a 59.7% pass rate across 67 visual understanding tasks (rank 46/77) and 68.56% on OCR across 229 tasks (rank 40/58), with an average latency of ~7.09 seconds per task at roughly $0.040 per task. Pricing is listed as $15.00 per 1M input tokens and $75.00 per 1M output tokens,

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