Claude Opus 5
claude-opus-5Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis... Built by Anthropic.
Prices updated
Input price
$5.00
per 1M tokens · Standard
Output price
$25
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
128K
tokens
Input formats
Output formats
Claude Opus 5 price history
2 price records since 9/25/2026
Claude Opus 5 cost calculator
$225/month
Standard pricing
Overview
What is Claude Opus 5?
Claude Opus 5 is a text & reasoning and vision model from Anthropic. Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis... Its 1M context window and $5.00 input price make it a candidate for quality-focused production applications.
Benchmarks
Claude Opus 5 benchmarks & speed
How Claude Opus 5 scores on standardized evaluations, and where it lands among every model we track.
50.8
Intelligence Index
56tok/s
Output speed
1328
DesignArena Elo
Reasoning
GPQA Diamond
93.2%
Graduate-level scientific reasoning · top 8%
HLE
54.9%
Humanity's Last Exam · top 2%
Coding
SciCode
56.4%
Python for scientific computing · top 24%
Latency & design
- Time to first token
- 59.16s
- DesignArena win rate
- 57.6%
- Design battles judged
- 17,314
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 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$5.00
Per 1M tokens
Cached input · Standard
$0.50
Per 1M tokens
Capabilities
Claude Opus 5 Tools
Tools available when using Claude Opus 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 50.8 · DesignArena Elo 1328) 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