Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains... Built by Anthropic.
Prices updated
Input price
$15
per 1M tokens · Standard
Output price
$75
per 1M tokens · Standard
Input limit
200K
tokens
Output limit
32K
tokens
Input formats
Output formats
Claude Opus 4.1 price history
2 price records since 9/25/2026
Claude Opus 4.1 cost calculator
$675/month
Standard pricing
Overview
What is Claude Opus 4.1?
Claude Opus 4.1 is a text & reasoning and vision model from Anthropic. Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains... Its 200K context window and $15 input price make it a candidate for quality-focused production applications.
Benchmarks
Claude Opus 4.1 benchmarks & speed
How Claude Opus 4.1 scores on standardized evaluations, and where it lands among every model we track.
18.6
Intelligence Index
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Claude Opus 4.1 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$15
Per 1M tokens
Cached input · Standard
$1.50
Per 1M tokens
Capabilities
Claude Opus 4.1 Tools
Tools available when using Claude Opus 4.1 through supported provider APIs.
Function calling
Supported
Structured outputs
Not supported
JSON mode
Not supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Not supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 18.6) position it for demanding production work.
- 200K context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 5× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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