Command R vs Mistral 7B
Command R comes out ahead, 51 to 47 on our weighted score.
- Our pick
Cohere
Command R
51/100- ECI—
- Price$0.15 / $0.60
- Context128K
Mistral AI
Mistral 7B
47/100- ECI—
- Price$0.25 / $0.25
- Context8K
Add a model
Make it a three-way comparison.
Command R is our pick
Command R is the better all-round choice, scoring 51/100 against Mistral 7B (47). It leads on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMistral 7BMistral 7B $0.25 · Command R $0.263 per 1M tokens (3:1 blend)
- Longest contextCommand RCommand R 128,000 · Mistral 7B 8,000 tokens
- Widest inputsSame inputsCommand R: Text · Mistral 7B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Command R | Mistral 7B |
|---|---|---|---|
| Price | 50% | 77 | 78 |
| Inputs & features | 30% | 25 | 25 |
| Context window | 20% | 24 | 0 |
| Overall | 100% | 51/100 | 47/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.15 (best) | $0.25 |
| Output | $0.60 | $0.25 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.263 | $0.25 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Cohere API | Official Mistral API |
| Limits | ||
| Context window | 128,000 tokens (best) | 8,000 tokens |
| Max output | 4,000 tokens | 8,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | command-r-08-2024 | open-mistral-7b |
| API providers | 5 (best) | 1 |
| Released | Aug 30, 2024 | Sep 27, 2023 |
| Knowledge cutoff | Jun 1, 2024 | Dec 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Command R$2.70
Mistral 7B$3.00
Which should you choose?
Which is better: Command R or Mistral 7B?
Command R is the better all-round choice, scoring 51/100 against Mistral 7B (47). It leads on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Command R or Mistral 7B?
Mistral 7B is cheaper at $0.25 input / $0.25 output per million tokens (official Mistral API price). Command R costs $0.15 input / $0.60 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Mistral 7B versus $0.263 for Command R (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Command R has not been scored yet and Mistral 7B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command R and Mistral 7B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Command R has the largest context window at 128,000 tokens, against 8,000 for Mistral 7B. Maximum output per response: Command R up to 4,000, Mistral 7B up to 8,000 tokens.
Which can read images, PDFs, audio or video?
Command R accepts text; Mistral 7B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Command R is the newest, released Aug 30, 2024. Mistral 7B came out Sep 27, 2023. Knowledge cutoff: Command R Jun 1, 2024, Mistral 7B Dec 2023.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.