Claude Opus 4.5
claude-opus-4.5Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and... Built by Anthropic.
Prices updated
Input price
$5.00
per 1M tokens · Standard
Output price
$25
per 1M tokens · Standard
Input limit
200K
tokens
Output limit
64K
tokens
Input formats
Output formats
Claude Opus 4.5 price history
2 price records since 9/25/2026
Claude Opus 4.5 cost calculator
$225/month
Standard pricing
Overview
What is Claude Opus 4.5?
Claude Opus 4.5 is a text & reasoning and vision model from Anthropic. Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and... Its 200K context window and $5.00 input price make it a candidate for quality-focused production applications.
Benchmarks
Claude Opus 4.5 benchmarks & speed
How Claude Opus 4.5 scores on standardized evaluations, and where it lands among every model we track.
23.7
Intelligence Index
46tok/s
Output speed
1246
DesignArena Elo
Reasoning
GPQA Diamond
81.0%
Graduate-level scientific reasoning · top 54%
HLE
13.2%
Humanity's Last Exam · top 60%
Latency & design
- Time to first token
- 1.08s
- DesignArena win rate
- 59.5%
- Design battles judged
- 35,206
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 4.5 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 4.5 Tools
Tools available when using Claude Opus 4.5 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 23.7 · DesignArena Elo 1246) 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.
Same provider