Command A+
command-a-plusCommand A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured... Built by Cohere.
Prices updated
Input price
$0.30
per 1M tokens · Standard
Output price
$1.50
per 1M tokens · Standard
Input limit
192K
tokens
Output limit
64K
tokens
Input formats
Output formats
Command A+ price history
2 price records since 9/25/2026
Command A+ cost calculator
$14/month
Standard pricing
Overview
What is Command A+?
Command A+ is a text & reasoning and vision model from Cohere. Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured... Its 192K context window and $0.30 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
Command A+ benchmarks & speed
How Command A+ scores on standardized evaluations, and where it lands among every model we track.
13.1
Intelligence Index
156tok/s
Output speed
Reasoning
GPQA Diamond
76.1%
Graduate-level scientific reasoning · top 61%
HLE
12.0%
Humanity's Last Exam · top 62%
Coding
SciCode
38.5%
Python for scientific computing · top 85%
Latency & design
- Time to first token
- 0.49s
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
$0.30
Per 1M tokens
Cached input · Standard
$0.15
Per 1M tokens
Capabilities
Command A+ Tools
Tools available when using Command A+ 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
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.30 per million tokens suits high-volume workloads.
- A 192K context window covers most focused application workflows.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 5× more than input tokens, which matters for verbose responses.
- The 192K context window is smaller than several long-context alternatives.
- 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.
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