Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective... 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 4.6 price history
2 price records since 9/25/2026
Claude Opus 4.6 cost calculator
$225/month
Standard pricing
Overview
What is Claude Opus 4.6?
Claude Opus 4.6 is a text & reasoning and vision model from Anthropic. Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective... Its 1M context window and $5.00 input price make it a candidate for quality-focused production applications.
Benchmarks
Claude Opus 4.6 benchmarks & speed
How Claude Opus 4.6 scores on standardized evaluations, and where it lands among every model we track.
26.4
Intelligence Index
37tok/s
Output speed
1293
DesignArena Elo
Reasoning
GPQA Diamond
84.0%
Graduate-level scientific reasoning · top 46%
HLE
19.1%
Humanity's Last Exam · top 53%
Latency & design
- Time to first token
- 1.91s
- DesignArena win rate
- 61.2%
- Design battles judged
- 27,402
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 4.6 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 4.6 Tools
Tools available when using Claude Opus 4.6 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 26.4 · DesignArena Elo 1293) 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
