Command R7B Arabic vs Mistral Small 3
Command R7B Arabic comes out ahead, 65 to 50 on our weighted score, though Mistral Small 3 is 12% cheaper per token.
- Our pick
Cohere
Command R7B Arabic
65/100- ECI—
- Price$0.037 / $0.15
- Context128K
Mistral AI
Mistral Small 3
50/100- ECI—
- Price$0.05 / $0.08
- Context33K
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Make it a three-way comparison.
Command R7B Arabic is our pick
Command R7B Arabic is the better all-round choice, scoring 65/100 against Mistral Small 3 (50). It leads on inputs & features and 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 Small 3Mistral Small 3 $0.058 · Command R7B Arabic $0.066 per 1M tokens (3:1 blend)
- Longest contextCommand R7B ArabicCommand R7B Arabic 128,000 · Mistral Small 3 32,768 tokens
- Widest inputsSame inputsCommand R7B Arabic: Text · Mistral Small 3: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Command R7B Arabic | Mistral Small 3 |
|---|---|---|---|
| Price | 50% | 100 | 100 |
| Inputs & features | 30% | 35 | 0 |
| Context window | 20% | 24 | 0 |
| Overall | 100% | 65/100 | 50/100 |
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 | — | — |
| GPQA DiamondGraduate-level science questions | — | 47.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 6.7% |
| Price per million tokens | ||
| Input | $0.037 (best) | $0.05 |
| Output | $0.15 | $0.08 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.066 | $0.058 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Cohere API | Median of 6 providers |
| Limits | ||
| Context window | 128,000 tokens (best) | 32,768 tokens |
| Max output | 4,000 tokens | 16,384 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 | No |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | command-r7b-arabic-02-2025 | — |
| API providers | 1 | 6 (best) |
| Released | Feb 27, 2025 | Jan 30, 2025 |
| Knowledge cutoff | Jun 1, 2024 | Oct 31, 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 R7B Arabic$0.675
Mistral Small 3$0.66
Which should you choose?
Which is better: Command R7B Arabic or Mistral Small 3?
Command R7B Arabic is the better all-round choice, scoring 65/100 against Mistral Small 3 (50). It leads on inputs & features and 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 R7B Arabic or Mistral Small 3?
Mistral Small 3 is cheaper at $0.05 input / $0.08 output per million tokens (median across 6 API providers). Command R7B Arabic costs $0.037 input / $0.15 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $0.058 per million tokens for Mistral Small 3 versus $0.066 for Command R7B Arabic (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Command R7B Arabic has not been scored yet and Mistral Small 3 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command R7B Arabic and Mistral Small 3 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Mistral Small 3 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Command R7B Arabic has the largest context window at 128,000 tokens, against 32,768 for Mistral Small 3. Maximum output per response: Command R7B Arabic up to 4,000, Mistral Small 3 up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Command R7B Arabic accepts text; Mistral Small 3 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 R7B Arabic is the newest, released Feb 27, 2025. Mistral Small 3 came out Jan 30, 2025. Knowledge cutoff: Command R7B Arabic Jun 1, 2024, Mistral Small 3 Oct 31, 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 Nov 2, 2026.