Mistral Small 3.2 24B vs Voxtral Small 24B 2507
Mistral Small 3.2 24B comes out ahead, 65 to 55 on our weighted score, and it is the cheaper option too.
- Our pick
Mistral AI
Mistral Small 3.2 24B
65/100- ECI—
- Price$0.10 / $0.305
- Context256K
Mistral AI
Voxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.40
- Context33K
Add a model
Make it a three-way comparison.
Mistral Small 3.2 24B is our pick
Mistral Small 3.2 24B is the better all-round choice, scoring 65/100 against Voxtral Small 24B 2507 (55). It leads on price, 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 3.2 24BMistral Small 3.2 24B $0.151 · Voxtral Small 24B 2507 $0.175 per 1M tokens (3:1 blend)
- Longest contextMistral Small 3.2 24BMistral Small 3.2 24B 256,000 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsSame inputsMistral Small 3.2 24B: Text, Images · Voxtral Small 24B 2507: Text, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Mistral Small 3.2 24B | Voxtral Small 24B 2507 |
|---|---|---|---|
| Price | 50% | 85 | 82 |
| Inputs & features | 30% | 50 | 45 |
| Context window | 20% | 36 | 0 |
| Overall | 100% | 65/100 | 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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.10 | $0.10 |
| Output | $0.305 (best) | $0.40 |
| Cached input | — | — |
| Blended (3:1) | $0.151 (best) | $0.175 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 8 providers | Official Mistral API |
| Limits | ||
| Context window | 256,000 tokens (best) | 32,768 tokens |
| Max output | 16,384 tokens | 32,768 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | Yes |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | OpenApache 2.0 |
| API model ID | — | voxtral-small-latest |
| API providers | 8 | 10 (best) |
| Released | Jun 20, 2025 | Jul 15, 2025 |
| Knowledge cutoff | 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.
Mistral Small 3.2 24B$1.61
Voxtral Small 24B 2507$1.80
Which should you choose?
Which is better: Mistral Small 3.2 24B or Voxtral Small 24B 2507?
Mistral Small 3.2 24B is the better all-round choice, scoring 65/100 against Voxtral Small 24B 2507 (55). It leads on price, 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, Mistral Small 3.2 24B or Voxtral Small 24B 2507?
Mistral Small 3.2 24B is cheaper at $0.10 input / $0.305 output per million tokens (median across 8 API providers). Voxtral Small 24B 2507 costs $0.10 input / $0.40 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.151 per million tokens for Mistral Small 3.2 24B versus $0.175 for Voxtral Small 24B 2507 (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mistral Small 3.2 24B 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 Mistral Small 3.2 24B 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?
Mistral Small 3.2 24B has the largest context window at 256,000 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Mistral Small 3.2 24B up to 16,384, Voxtral Small 24B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Mistral Small 3.2 24B accepts text and images; Voxtral Small 24B 2507 accepts text and audio. They handle the same number of input types.
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. Mistral Small 3.2 24B came out Jun 20, 2025. Knowledge cutoff: Mistral Small 3.2 24B 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.