Voxtral Small 24B 2507 vs GPT OSS 120B
Too close to call on our weighted score (GPT OSS 120B 57, 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
OpenAIGPT OSS 120B
57/100- ECI140.0
- Price$0.15 / $0.60
- Context131K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (GPT OSS 120B 57/100, Voxtral Small 24B 2507 55/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price and GPT OSS 120B 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 priceVoxtral Small 24B 2507Voxtral Small 24B 2507 $0.15 · GPT OSS 120B $0.263 per 1M tokens (3:1 blend)
- Longest contextGPT OSS 120BGPT OSS 120B 131,072 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsVoxtral Small 24B 2507Voxtral Small 24B 2507: Text, Audio · GPT OSS 120B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Voxtral Small 24B 2507 | GPT OSS 120B |
|---|---|---|---|
| Price | 50% | 89 | 77 |
| Inputs & features | 30% | 35 | 45 |
| Context window | 20% | 0 | 24 |
| Overall | 100% | 55/100 | 57/100 |
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 | GPT OSS 120BOpenAI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 140.0 |
| ECI rank | — | #99 of 148 |
| GPQA DiamondGraduate-level science questions | — | 75.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 88.9% |
| Price per million tokens | ||
| Input | $0.10 (best) | $0.15 |
| Output | $0.30 (best) | $0.60 |
| Cached input | — | — |
| Blended (3:1) | $0.15 (best) | $0.263 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 36 providers |
| Limits | ||
| Context window | 32,768 tokens | 131,072 tokens (best) |
| Max output | 32,768 tokens | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | Yes | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | OpenApache 2.0 | Open |
| API model ID | voxtral-small-latest | — |
| API providers | 7 | 39 (best) |
| Released | Jul 15, 2025 | Aug 5, 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$1.60
- GPT OSS 120B$2.70
Which should you choose?
Which is better: Voxtral Small 24B 2507 or GPT OSS 120B?
It is close. Our weighted score puts them within 2 points (GPT OSS 120B 57/100, Voxtral Small 24B 2507 55/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price and GPT OSS 120B 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 GPT OSS 120B?
Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). GPT OSS 120B costs $0.15 input / $0.60 output per million tokens (median across 36 API providers). 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 GPT OSS 120B (1.8× 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 GPT OSS 120B has an ECI of 140.0.
Which is better for coding?
There are no published SWE-bench Verified results for Voxtral Small 24B 2507 and GPT OSS 120B 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?
GPT OSS 120B has the largest context window at 131,072 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Voxtral Small 24B 2507 up to 32,768, GPT OSS 120B up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Voxtral Small 24B 2507 accepts text and audio; GPT OSS 120B 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), so you can self-host them.
Which is newer?
GPT OSS 120B is the newest, released Aug 5, 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 Oct 4, 2026.
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