Command A
cohere/command-aThe enterprise generation model, built for RAG, citations and private deployment.
Model overview
Context window
256K
tokens
Input price
—
quoted on request
Output price
—
quoted on request
Weekly volume
—
tokens / week
Open weights
No
API only
Capabilities
4
of 11 tags
Description
Command A is a language model from Cohere. Webparam does not stock this model yet and can source it on request — tell us what you need it for and we will come back with availability and a price. Cohere’s stated focus is enterprise retrieval and language stack. The weights are not published, so it is API-only.
Capabilities
- Tool calling
- Calls functions you define and returns their arguments as structured data, the basis of agents.
- JSON mode
- Constrains the response to valid JSON matching a schema you supply.
- Streaming
- Emits tokens as they are generated, so answers appear progressively rather than all at once.
- Fine-tunable
- Can be further trained on your own data to specialise it.
Strengths & weaknesses
Strengths
- Grounded generation with citations
- Private/on-prem options
- Enterprise multilingual
Weaknesses
- General benchmarks trail flagships
- Premium pricing for the tier
Pricing
Free| Rate | Price | Unit |
|---|---|---|
| Input | $0.00 | per 1M tokens |
| Output | — not charged | — |
Free at the point of use; fair-use rate limits apply to the free tier. Illustrative placeholder pricing.
Context window
256Ktokens
covers prompt and response together, so a long input leaves less room for the answer.
Supported features
| Feature | Support |
|---|---|
| Tool calling | Supported |
| JSON mode | Supported |
| Streaming | Supported |
| Vision input | Not supported |
| Audio input | Not supported |
| Long context | Not supported |
| Open weights | Not supported |
| Reasoning | Not supported |
| Fine-tunable | Supported |
| Batch | Not supported |
| Caching | Not supported |
Example use cases
Enterprise RAG
Grounded generation with citations
Regulated deployments
Private/on-prem options
Grounded assistants
Enterprise multilingual
Comparison
| Attribute | Command A | Embed v4 | Mistral Large 3 |
|---|---|---|---|
| Context window | 256K | 128K | 256K |
| Input price | $0.00 | $0.00 | $0.00 |
| Output price | — not charged | — not charged | — not charged |
| Tool calling | Supported | Not supported | Supported |
| JSON mode | Supported | Not supported | Supported |
| Vision input | Not supported | Supported | Not supported |
| Open weights | Not supported | Not supported | Not supported |
| Prompt caching | Not supported | Not supported | Supported |
Best value in each row is highlighted. Illustrative placeholder data.
Provider information
View Cohere →Cohere · Toronto, Canada · est. 2019
Cohere never chased consumer chat. It built the enterprise retrieval stack instead.
Recent releases
Documentation
Frequently asked questions
Input is billed at $0.00 per 1M tokens, and there is no separate output charge. Every figure on this page is an illustrative placeholder.