Command R vs Voxtral Small 24B 2507
Voxtral Small 24B 2507 comes out ahead, 55 to 51 on our weighted score, and it is the cheaper option too.
CohereCommand R
51/100- ECI—
- Price$0.15 / $0.60
- Context128K
- Our pick
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.30
- Context33K
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Make it a three-way comparison.
Voxtral Small 24B 2507 is our pick
Voxtral Small 24B 2507 is the better all-round choice, scoring 55/100 against Command R (51). It leads on price and inputs & features. Command R wins 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 priceVoxtral Small 24B 2507Voxtral Small 24B 2507 $0.15 · Command R $0.263 per 1M tokens (3:1 blend)
- Longest contextCommand RCommand R 128,000 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsVoxtral Small 24B 2507Command R: Text · Voxtral Small 24B 2507: Text, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Command R | Voxtral Small 24B 2507 |
|---|---|---|---|
| Price | 50% | 77 | 89 |
| Inputs & features | 30% | 25 | 35 |
| Context window | 20% | 24 | 0 |
| Overall | 100% | 51/100 | 55/100 |
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 | Command RCohere | Voxtral Small 24B 2507Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.15 | $0.10 (best) |
| Output | $0.60 | $0.30 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.263 | $0.15 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Cohere API | Official Mistral API |
| Limits | ||
| Context window | 128,000 tokens (best) | 32,768 tokens |
| Max output | 4,000 tokens | 32,768 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | Yes |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | OpenApache 2.0 |
| API model ID | command-r-08-2024 | voxtral-small-latest |
| API providers | 5 | 7 (best) |
| Released | Aug 30, 2024 | Jul 15, 2025 |
| Knowledge cutoff | Jun 1, 2024 | — |
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
- Voxtral Small 24B 2507$1.60
Which should you choose?
Which is better: Command R or Voxtral Small 24B 2507?
Voxtral Small 24B 2507 is the better all-round choice, scoring 55/100 against Command R (51). It leads on price and inputs & features. Command R wins 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 Voxtral Small 24B 2507?
Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.30 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 $0.15 per million tokens for Voxtral Small 24B 2507 versus $0.263 for Command R (1.8× 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 Voxtral Small 24B 2507 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command R and Voxtral Small 24B 2507 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 32,768 for Voxtral Small 24B 2507. Maximum output per response: Command R up to 4,000, Voxtral Small 24B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Command R accepts text; Voxtral Small 24B 2507 accepts text and audio. Voxtral Small 24B 2507 handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights (Apache 2.0), so you can self-host them.
Which is newer?
Voxtral Small 24B 2507 is the newest, released Jul 15, 2025. Command R came out Aug 30, 2024. Knowledge cutoff: Command R Jun 1, 2024.
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.
