Mistral Nemotron vs Voxtral Small 24B 2507
Too close to call on our weighted score (Voxtral Small 24B 2507 27, Mistral Nemotron 25). The right pick depends on what you value most.
NVIDIAMistral Nemotron
25/100- ECI—
- Price—
- Context128K
Mistral AIVoxtral Small 24B 2507
27/100- ECI—
- Price$0.10 / $0.40
- Context33K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 3 points (Voxtral Small 24B 2507 27/100, Mistral Nemotron 25/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price and Mistral Nemotron for long inputs. The score weighs inputs & features 60%, context window 40%. 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 $0.175 per 1M tokens (3:1 blend) · Mistral Nemotron unpriced
- Longest contextMistral NemotronMistral Nemotron 128,000 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsVoxtral Small 24B 2507Mistral Nemotron: Text · Voxtral Small 24B 2507: Text, Audio
- Self-hostingVoxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Mistral Nemotron | Voxtral Small 24B 2507 |
|---|---|---|---|
| Inputs & features | 60% | 25 | 45 |
| Context window | 40% | 24 | 0 |
| Overall | 100% | 25/100 | 27/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mistral NemotronNVIDIA | Voxtral Small 24B 2507Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | $0.10 |
| Output | — | $0.40 |
| Cached input | — | — |
| Blended (3:1) | — | $0.175 |
| Long-context rate | — | Same rate |
| Price source | — | Official Mistral API |
| Limits | ||
| Context window | 128,000 tokens (best) | 32,768 tokens |
| Max output | 8,192 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 | Yes |
| Availability | ||
| Weights | Proprietary | OpenApache 2.0 |
| API model ID | — | voxtral-small-latest |
| API providers | — | 10 |
| Released | Jun 11, 2025 | Jul 15, 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.
- Mistral Nemotron—
- Voxtral Small 24B 2507$1.80
Which should you choose?
Which is better: Mistral Nemotron or Voxtral Small 24B 2507?
It is close. Our weighted score puts them within 3 points (Voxtral Small 24B 2507 27/100, Mistral Nemotron 25/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price and Mistral Nemotron for long inputs. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Mistral Nemotron or Voxtral Small 24B 2507?
Voxtral Small 24B 2507 is cheaper at $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 $0.175 per million tokens for Voxtral Small 24B 2507 versus . Mistral Nemotron has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mistral Nemotron 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 Nemotron 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 Nemotron has the largest context window at 128,000 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Mistral Nemotron up to 8,192, Voxtral Small 24B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Mistral Nemotron 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?
Voxtral Small 24B 2507 publishes its weights (Apache 2.0) and can be self-hosted; Mistral Nemotron is proprietary.
Which is newer?
Voxtral Small 24B 2507 is the newest, released Jul 15, 2025. Mistral Nemotron came out Jun 11, 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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