Voxtral Small 24B 2507 vs Apertus 8B
Too close to call on our weighted score (Apertus 8B 56, Voxtral Small 24B 2507 55). The right pick depends on what you value most.
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.30
- Context33K
Swiss AI
Apertus 8B
56/100- ECI—
- Price$0.10 / $0.20
- Context66K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 1 points (Apertus 8B 56/100, Voxtral Small 24B 2507 55/100), so choose by what matters most for your work: Apertus 8B on price and Apertus 8B for long inputs. 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 priceApertus 8BApertus 8B $0.125 · Voxtral Small 24B 2507 $0.15 per 1M tokens (3:1 blend)
- Longest contextApertus 8BApertus 8B 65,536 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsVoxtral Small 24B 2507Voxtral Small 24B 2507: Text, Audio · Apertus 8B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Voxtral Small 24B 2507 | Apertus 8B |
|---|---|---|---|
| Price | 50% | 89 | 93 |
| Inputs & features | 30% | 35 | 25 |
| Context window | 20% | 0 | 12 |
| Overall | 100% | 55/100 | 56/100 |
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 | Apertus 8BSwiss AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.10 | $0.10 |
| Output | $0.30 | $0.20 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.15 | $0.125 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 1 providers |
| Limits | ||
| Context window | 32,768 tokens | 65,536 tokens (best) |
| Max output | 32,768 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | Yes | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache 2.0 | OpenApache-2.0 |
| API model ID | voxtral-small-latest | — |
| API providers | 7 (best) | 1 |
| Released | Jul 15, 2025 | Sep 2, 2025 |
| Knowledge cutoff | — | Sep 2025 |
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$1.60
- Apertus 8B$1.40
Which should you choose?
Which is better: Voxtral Small 24B 2507 or Apertus 8B?
It is close. Our weighted score puts them within 1 points (Apertus 8B 56/100, Voxtral Small 24B 2507 55/100), so choose by what matters most for your work: Apertus 8B on price and Apertus 8B for long inputs. 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 Apertus 8B?
Apertus 8B is cheaper at $0.10 input / $0.20 output per million tokens (median across 1 API provider). Voxtral Small 24B 2507 costs $0.10 input / $0.30 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.125 per million tokens for Apertus 8B versus $0.15 for Voxtral Small 24B 2507 (1.2× as much).
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 Apertus 8B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Voxtral Small 24B 2507 and Apertus 8B 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?
Apertus 8B has the largest context window at 65,536 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Voxtral Small 24B 2507 up to 32,768, Apertus 8B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Voxtral Small 24B 2507 accepts text and audio; Apertus 8B accepts text. Voxtral Small 24B 2507 handles the widest range of inputs.
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?
Apertus 8B is the newest, released Sep 2, 2025. Voxtral Small 24B 2507 came out Jul 15, 2025. Knowledge cutoff: Apertus 8B Sep 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 Oct 4, 2026.
