Claude Opus 5.5
claude-opus-5.5Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code... Built by Anthropic.
Prices updated
Input price
$4.00
per 1M tokens · Standard
Output price
$20
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
128K
tokens
Input formats
Output formats
Claude Opus 5.5 price history
2 price records since 9/25/2026
Claude Opus 5.5 cost calculator
$180/month
Standard pricing
Overview
What is Claude Opus 5.5?
Claude Opus 5.5 is a text & reasoning and vision model from Anthropic. Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code... Its 1M context window and $4.00 input price make it a candidate for quality-focused production applications.
Benchmarks
Claude Opus 5.5 benchmarks & speed
How Claude Opus 5.5 scores on standardized evaluations, and where it lands among every model we track.
57.6
Intelligence Index
91tok/s
Output speed
1407
DesignArena Elo
Reasoning
HLE
61.4%
Humanity's Last Exam · top 1%
Coding
SciCode
66.9%
Python for scientific computing · top 1%
Latency & design
- Time to first token
- 755.54s
- DesignArena win rate
- 65.3%
- Design battles judged
- 2,767
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Claude Opus 5.5 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$4.00
Per 1M tokens
Cached input · Standard
$0.20
Per 1M tokens
Capabilities
Claude Opus 5.5 Tools
Tools available when using Claude Opus 5.5 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
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 57.6 · DesignArena Elo 1407) position it for demanding production work.
- 1M 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.
Same provider