Voxtral Small 24B 2507 vs Ministral 14B
Ministral 14B comes out ahead, 63 to 55 on our weighted score.
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.40
- Context33K
- Our pickMistral AI
Ministral 14B
63/100- ECI—
- Price$0.175 / $0.175
- Context262K
Add a model
Make it a three-way comparison.
Ministral 14B is our pick
Ministral 14B is the better all-round choice, scoring 63/100 against Voxtral Small 24B 2507 (55). 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 priceSame priceVoxtral Small 24B 2507 $0.175 · Ministral 14B $0.175 per 1M tokens (3:1 blend)
- Longest contextMinistral 14BMinistral 14B 262,144 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsSame inputsVoxtral Small 24B 2507: Text, Audio · Ministral 14B: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Voxtral Small 24B 2507 | Ministral 14B |
|---|---|---|---|
| Price | 50% | 82 | 82 |
| Inputs & features | 30% | 45 | 50 |
| Context window | 20% | 0 | 37 |
| Overall | 100% | 55/100 | 63/100 |
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 | Voxtral Small 24B 2507Mistral AI | Ministral 14BMistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.10 (best) | $0.175 |
| Output | $0.40 | $0.175 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.175 | $0.175 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 2 providers |
| Limits | ||
| Context window | 32,768 tokens | 262,144 tokens (best) |
| Max output | 32,768 tokens | 262,144 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | Yes | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | OpenApache 2.0 | OpenApache-2.0 |
| API model ID | voxtral-small-latest | — |
| API providers | 10 (best) | 2 |
| Released | Jul 15, 2025 | Dec 2, 2025 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Voxtral Small 24B 2507$1.80
- Ministral 14B$2.10
Which should you choose?
Which is better: Voxtral Small 24B 2507 or Ministral 14B?
Ministral 14B is the better all-round choice, scoring 63/100 against Voxtral Small 24B 2507 (55). 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, Voxtral Small 24B 2507 or Ministral 14B?
Voxtral Small 24B 2507 and Ministral 14B cost the same: $0.10 input / $0.40 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Voxtral Small 24B 2507 has not been scored yet and Ministral 14B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Voxtral Small 24B 2507 and Ministral 14B 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?
Ministral 14B has the largest context window at 262,144 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Voxtral Small 24B 2507 up to 32,768, Ministral 14B up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Voxtral Small 24B 2507 accepts text and audio; Ministral 14B accepts text and images. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Apache 2.0 and Apache-2.0), so you can self-host them.
Which is newer?
Ministral 14B is the newest, released Dec 2, 2025. Voxtral Small 24B 2507 came out Jul 15, 2025.
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.
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