Mistral Large vs Voxtral Small 24B 2507
Voxtral Small 24B 2507 comes out ahead, 55 to 45 on our weighted score, and it is the cheaper option too.
Mistral AIMistral Large
45/100- ECI122.0
- Price$0.50 / $1.50
- Context128K
- Our pickMistral AI
Voxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.40
- Context33K
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 Mistral Large (45). It leads on price. Mistral Large 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 · Mistral Large $0.75 per 1M tokens (3:1 blend)
- Longest contextMistral LargeMistral Large 128,000 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsSame inputsMistral Large: Text, PDFs · Voxtral Small 24B 2507: Text, Audio
- Self-hostingVoxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Mistral Large | Voxtral Small 24B 2507 |
|---|---|---|---|
| Price | 50% | 53 | 82 |
| Inputs & features | 30% | 45 | 45 |
| Context window | 20% | 24 | 0 |
| Overall | 100% | 45/100 | 55/100 |
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 | Mistral LargeMistral AI | Voxtral Small 24B 2507Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 122.0 | — |
| ECI rank | #153 of 165 | — |
| GPQA DiamondGraduate-level science questions | 38.8% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.9% | — |
| Price per million tokens | ||
| Input | $0.50 | $0.10 (best) |
| Output | $1.50 | $0.40 (best) |
| Cached input | $0.05 | — |
| Blended (3:1) | $0.75 | $0.175 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Mistral API |
| Limits | ||
| Context window | 128,000 tokens (best) | 32,768 tokens |
| Max output | 102,400 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | Yes | No |
| Audio | No | Yes |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | OpenApache 2.0 |
| API model ID | mistral-large-latest | voxtral-small-latest |
| API providers | 11 (best) | 10 |
| Released | Feb 26, 2024 | Jul 15, 2025 |
| Knowledge cutoff | Nov 30, 2024 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mistral Large$8.00
- Voxtral Small 24B 2507$1.80
Which should you choose?
Which is better: Mistral Large or Voxtral Small 24B 2507?
Voxtral Small 24B 2507 is the better all-round choice, scoring 55/100 against Mistral Large (45). It leads on price. Mistral Large 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, Mistral Large 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). Mistral Large costs $0.50 input / $1.50 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 $0.75 for Mistral Large (4.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mistral Large has an ECI of 122.0 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 Large 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 Large has the largest context window at 128,000 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Mistral Large up to 102,400, Voxtral Small 24B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Mistral Large accepts text and PDFs; Voxtral Small 24B 2507 accepts text and audio. They handle the same number of input types.
Are any of these open source?
Voxtral Small 24B 2507 publishes its weights (Apache 2.0) and can be self-hosted; Mistral Large is proprietary.
Which is newer?
Voxtral Small 24B 2507 is the newest, released Jul 15, 2025. Mistral Large came out Feb 26, 2024. Knowledge cutoff: Mistral Large Nov 30, 2024.
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.
Related comparisons
- Add Gemma 2 27BThree-way comparison
- Mistral Large vs Gemma 2 27BGoogle · ECI 122.1
- Mistral Large vs Claude Haiku 3Anthropic · ECI 118.8
- Mistral Large vs Llama-3.1-70B-InstructMeta · ECI 125.9
- Mistral Large vs WizardLM 2 8x22BMicrosoft
- Voxtral Small 24B 2507 vs Gemini 2.5 Flash-LiteGoogle
- Voxtral Small 24B 2507 vs Qwen FlashAlibaba (Qwen)
