Voxtral Small 24B 2507 vs MiniMax M1 80K
Voxtral Small 24B 2507 comes out ahead, 55 to 47 on our weighted score, and it is the cheaper option too.
- Our pick
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.40
- Context33K
MiniMaxMiniMax M1 80K
47/100- ECI—
- Price$0.55 / $2.20
- Context1M
Add a model
Make it a three-way comparison.
Voxtral Small 24B 2507 is our pick
Voxtral Small 24B 2507 is the better all-round choice, scoring 55/100 against MiniMax M1 80K (47). It leads on price and inputs & features. MiniMax M1 80K wins on 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 priceVoxtral Small 24B 2507Voxtral Small 24B 2507 $0.175 · MiniMax M1 80K $0.963 per 1M tokens (3:1 blend)
- Longest contextMiniMax M1 80KMiniMax M1 80K 1,000,000 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsVoxtral Small 24B 2507Voxtral Small 24B 2507: Text, Audio · MiniMax M1 80K: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Voxtral Small 24B 2507 | MiniMax M1 80K |
|---|---|---|---|
| Price | 50% | 82 | 48 |
| Inputs & features | 30% | 45 | 35 |
| Context window | 20% | 0 | 60 |
| Overall | 100% | 55/100 | 47/100 |
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 | MiniMax M1 80KMiniMax |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.10 (best) | $0.55 |
| Output | $0.40 (best) | $2.20 |
| Cached input | — | — |
| Blended (3:1) | $0.175 (best) | $0.963 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 5 providers |
| Limits | ||
| Context window | 32,768 tokens | 1,000,000 tokens (best) |
| Max output | 32,768 tokens | 80,000 tokens (best) |
| 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 | Yes | No |
| Availability | ||
| Weights | OpenApache 2.0 | OpenApache-2.0 |
| API model ID | voxtral-small-latest | — |
| API providers | 10 (best) | 5 |
| Released | Jul 15, 2025 | Jun 17, 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
- MiniMax M1 80K$9.90
Which should you choose?
Which is better: Voxtral Small 24B 2507 or MiniMax M1 80K?
Voxtral Small 24B 2507 is the better all-round choice, scoring 55/100 against MiniMax M1 80K (47). It leads on price and inputs & features. MiniMax M1 80K wins on 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 MiniMax M1 80K?
Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.40 output per million tokens (official Mistral API price). MiniMax M1 80K costs $0.55 input / $2.20 output per million tokens (median across 5 API providers). 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 $0.963 for MiniMax M1 80K (5.5× 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 MiniMax M1 80K has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Voxtral Small 24B 2507 and MiniMax M1 80K 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?
MiniMax M1 80K has the largest context window at 1,000,000 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Voxtral Small 24B 2507 up to 32,768, MiniMax M1 80K up to 80,000 tokens.
Which can read images, PDFs, audio or video?
Voxtral Small 24B 2507 accepts text and audio; MiniMax M1 80K 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?
Voxtral Small 24B 2507 is the newest, released Jul 15, 2025. MiniMax M1 80K came out Jun 17, 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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