Command A
Cohere · released Mar 11, 2025 · CohereForAI/c4ai-command-a-03-2025
- Type
- Open weightsCreative Commons Attribution-NonCommercial 4.0
- Params
- 111B
- Context
- 256K
about 192K words of context · download allowed, licence restricts use
Our take
Written Aug 3, 2026Command A is a 111.1-billion-parameter text model from Cohere, released in March 2025 under a non-commercial licence. It is positioned as a research and evaluation asset rather than a production-ready option, with no benchmark scores in our data.
Pick this for academic research or non-commercial exploration where you need to evaluate Cohere's architecture at large scale. Use it to test document-scale tasks with its 256,000-token request limit before committing to a commercial API contract. Skip it if you need a permissive licence for commercial products, if you require measured quality scores, or if you want to self-host for business use.
The case for it
- 111.1 billion total parameters, a substantial scale among openly available weights.
- 256,000-token request limit, enough for long documents.
- Identical pricing across both tracked providers, so there is no arbitrage friction.
The case against it
- Non-commercial licence only: no commercial products, no closed derivatives, and most fine-tuning redistribution is blocked.
- No benchmark scores in our data — no measured Elo, reasoning, coding or general quality figures.
- Throughput data is thin: only Cohere-hosted speed is known, and nothing we hold verifies performance elsewhere.
How good is it?
We hold no score for this model.
We look for every model we track on every board we watch, and none of them has turned up Command A — so there is no intelligence, coding, agentic or writing score to show you, not a low one, none.
Can you run it yourself?
- Fits in memory
- weights load entirely on the card
- Spills to system RAM
- some weights offload; much slower
- Too large
- will not load even with offload
- est
- size is calculated; the verdict could change by 10%
GeForce RTX 4090 · 24 GB
Too large for this card. The weights do not fit even with part of them offloaded to system memory.
Apple M1 Pro (16-core GPU) · 32 GB
Too large for this card. The weights do not fit even with part of them offloaded to system memory.
Comfortable fit
Apple M1 Ultra (64-core GPU) · 128 GB
Room to spare. 22.3 GB spare means a 10% error in the size would not change the answer.
Memory use by level
Against a 24 GB card.
All 3 sizes here are calculated, not measured. We hold no measured file for this model, so each size comes from the parameter count and every verdict above inherits that uncertainty.
Check against your own machine → · All 71 devices, with every size →
Or rent it from someone else
Cheapest of 2 live listings. Picked at the widest standard context we hold, within one quantisation slice, so the numbers beside it are a price one host actually charges.
- per 1M tokens
- $2.50 in / $10.00 out
- Context served
- 256K
- Throughput
- Not measured
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouter | $2.50 / $10.00 | 256K | not measured | Unknown | Unknown | Unknown |
| Cohere | $2.50 / $10.00 | 256K | 59 tok/s | No | Yes30 days | Unknown |
Across the 2 listings we hold: 1 say they do not train on prompts, 0 say they do and 1 do not say. 0 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
- ✓
- Supported
- ✗
- Not supported
- Not published
- host gave no parameter list
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouter | ✗ | ✓ | ✓ |
| Cohere | ✗ | ✓ | ✓ |
Tool calling: 0 of 2 listings say yes, 2 say no. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.
When we formed this view
Dates behind this page
Prices last checked 6h ago
What we do not know about this model yet
- We hold no measured file for it, so all 3 sizes on this page are calculated from the parameter count.
- No board we watch has turned up a score, so we hold no quality figures at all.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 2 listings do not say whether they train on prompts.
- We hold no cached-input rate for any of its listings.
Licence and identifiers
What the licence allowsCreative Commons Attribution-NonCommercial 4.0, what it allows commercially, and the identifiers you need to pull this model — its Hugging Face repo, our slug and a machine-readable card.
Licence
Creative Commons Attribution-NonCommercial 4.0
Weights are downloadable but commercial use is prohibited. Research and personal use only.
Identifiers
- Hugging Face
- CohereForAI/c4ai-command-a-03-2025
- Modality record
- text->text
- Catalogue slug
- cohere-command-a