Command A
Pricing updated daily · Last refreshed Oct 28, 2026Cohere model with a 256K-token context window, priced at $2.50 per million input tokens and $10.00 per million output tokens.
At a glance
- Provider
- Cohere
- Context window
- 256,000 tokens
- Max output
- 8,192 tokens
- Input price
- $2.50 / 1M tokens
- Output price
- $10.00 / 1M tokens
- Input types
- text
- Function calling
- No
- Released
- March 13, 2025
What it costs
Illustrative request sizes, not measurements of any real product. For your own volumes, use the cost estimator.
| Workload | Tokens in / out | Per request | Per 1,000 requests |
|---|---|---|---|
| Short chat reply | 1,000 / 500 | $0.0075 | $7.50 |
| Question over retrieved documents | 8,000 / 500 | $0.0250 | $25.00 |
| Summarise a long document | 50,000 / 1,500 | $0.1400 | $140.00 |
How it compares
- Input price ($2.50 per 1M tokens) is the 26th lowest of 30 models in the catalogue.
- Output price ($10.00 per 1M tokens) is the 22nd lowest of 30.
- Context window (256K tokens) is the 22nd largest of 30.
- Maximum output (8K tokens) is the 27th largest of 30.
- On blended price it is 629% more expensive than the median Cohere model in the catalogue.
These are rankings by listed price and size within this catalogue (blended price weights input 3:1 against output), not a measure of output quality.
Cheaper models with the same capabilities
Lower blended price, at least the same context window, and the same input types.
| Model | Provider | Context | Input $/1M | Output $/1M |
|---|---|---|---|---|
| Llama 4 Scout | Meta | 1.31M | $0.10 | $0.30 |
| Claude Haiku 5.5 | Anthropic | 1M | $0.10 | $0.50 |
| GPT-6 Luna Pro | OpenAI | 1.05M | $0.10 | $0.50 |
More from Cohere
| Model | Provider | Context | Input $/1M | Output $/1M |
|---|---|---|---|---|
| Command A+ | Cohere | 192K | $0.30 | $1.50 |
| Command R7B (12-2024) | Cohere | 128K | $0.037 | $0.15 |
| Command R (08-2024) | Cohere | 128K | $0.15 | $0.60 |
| Command R+ (08-2024) | Cohere | 128K | $2.50 | $10.00 |
Try it with your own text
- Token counter: see how many tokens a prompt uses (exact for OpenAI models, labelled estimates for others).
- Context window visualizer: see how much of this model’s 256K window a prompt fills.
- Model comparison: sort and filter every model, and export to CSV.
Source: OpenRouter’s public model catalogue (cohere/command-a), read once a day. These are the prices OpenRouter charges; a provider’s own list price can differ, so check the provider before committing to a budget.