Command A
command-aCommand A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary... Built by Cohere.
Prices updated
Input price
$2.50
per 1M tokens · Standard
Output price
$10
per 1M tokens · Standard
Input limit
256K
tokens
Output limit
8K
tokens
Input formats
Output formats
Command A price history
2 price records since 9/25/2026
Command A cost calculator
$100/month
Standard pricing
Overview
What is Command A?
Command A is a text & reasoning model from Cohere. Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary... Its 256K context window and $2.50 input price make it a candidate for quality-focused production applications.
Benchmarks
Command A benchmarks & speed
How Command A scores on standardized evaluations, and where it lands among every model we track.
7.0
Intelligence Index
64tok/s
Output speed
Reasoning
GPQA Diamond
52.7%
Graduate-level scientific reasoning · top 85%
HLE
4.0%
Humanity's Last Exam · top 90%
Latency & design
- Time to first token
- 1.68s
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
Command A pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$2.50
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
Command A Tools
Tools available when using Command A through supported provider APIs.
Function calling
Not supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 7) position it for demanding production work.
- 256K context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Generated tokens cost 4× 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