Mistral Large 3 vs Nova 2 Lite vs Voxtral Small 24B 2507
Nova 2 Lite comes out ahead, 62 to 55 and 50 on our weighted score, though Voxtral Small 24B 2507 is 6.2× cheaper per token.
Mistral AIMistral Large 3
50/100- ECI—
- Price$0.50 / $1.50
- Context262K
- Our pick
AmazonNova 2 Lite
62/100- ECI—
- Price$0.33 / $2.75
- Context1M
- Mistral AI
Voxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.30
- Context33K
Nova 2 Lite is our pick
Nova 2 Lite is the better all-round choice, scoring 62/100 against Voxtral Small 24B 2507 (55) and Mistral Large 3 (50). It leads on inputs & features and context window. Voxtral Small 24B 2507 wins on price. 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 · Mistral Large 3 $0.75 · Nova 2 Lite $0.935 per 1M tokens (3:1 blend)
- Longest contextNova 2 LiteNova 2 Lite 1,000,000 · Mistral Large 3 262,144 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsNova 2 LiteMistral Large 3: Text, Images · Nova 2 Lite: Text, Images, PDFs, Video · Voxtral Small 24B 2507: Text, Audio
- Self-hostingMistral Large 3 and Voxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Mistral Large 3 | Nova 2 Lite | Voxtral Small 24B 2507 |
|---|---|---|---|---|
| Price | 50% | 56 | 51 | 89 |
| Inputs & features | 30% | 50 | 80 | 35 |
| Context window | 20% | 37 | 60 | 0 |
| Overall | 100% | 50/100 | 62/100 | 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 Large 3Mistral AI | Nova 2 LiteAmazon | Voxtral Small 24B 2507Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.50 | $0.33 | $0.10 (best) |
| Output | $1.50 | $2.75 | $0.30 (best) |
| Cached input | $0.05 (best) | $0.083 | — |
| Blended (3:1) | $0.75 | $0.935 | $0.15 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Amazon Bedrock API | Official Mistral API |
| Limits | |||
| Context window | 262,144 tokens | 1,000,000 tokens (best) | 32,768 tokens |
| Max output | 262,144 tokens (best) | 65,536 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | No | Yes |
| Video | No | Yes | No |
| Reasoning | No | Yeslow · medium · high | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | OpenApache 2.0 |
| API model ID | mistral-large-2512 | amazon.nova-2-lite-v1:0 | voxtral-small-latest |
| API providers | 13 (best) | 2 | 7 |
| Released | Dec 2, 2025 | Dec 2, 2025 | Jul 15, 2025 |
| Knowledge cutoff | Nov 2024 | Oct 2025 | — |
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 3$8.00
- Nova 2 Lite$8.80
- Voxtral Small 24B 2507$1.60
Which should you choose?
Which is better: Mistral Large 3, Nova 2 Lite or Voxtral Small 24B 2507?
Nova 2 Lite is the better all-round choice, scoring 62/100 against Voxtral Small 24B 2507 (55) and Mistral Large 3 (50). It leads on inputs & features and context window. Voxtral Small 24B 2507 wins on price. 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 3, Nova 2 Lite or Voxtral Small 24B 2507?
Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). Mistral Large 3 costs $0.50 input / $1.50 output per million tokens (official Mistral API price); Nova 2 Lite costs $0.33 input / $2.75 output per million tokens (official Amazon Bedrock API price). 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 $0.75 for Mistral Large 3 (5× as much) and $0.935 for Nova 2 Lite (6.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Mistral Large 3 has not been scored yet, Nova 2 Lite 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 Large 3, Nova 2 Lite and Voxtral Small 24B 2507 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Nova 2 Lite has the largest context window at 1,000,000 tokens, against 262,144 for Mistral Large 3 and 32,768 for Voxtral Small 24B 2507. Maximum output per response: Mistral Large 3 up to 262,144, Nova 2 Lite up to 65,536, Voxtral Small 24B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Mistral Large 3 accepts text and images; Nova 2 Lite accepts text, images, PDFs and video; Voxtral Small 24B 2507 accepts text and audio. Nova 2 Lite handles the widest range of inputs.
Are any of these open source?
Mistral Large 3 and Voxtral Small 24B 2507 publishes its weights (Apache 2.0) and can be self-hosted; Nova 2 Lite is proprietary.
Which is newer?
Mistral Large 3 is the newest, released Dec 2, 2025. Nova 2 Lite came out Dec 2, 2025; Voxtral Small 24B 2507 came out Jul 15, 2025. Knowledge cutoff: Mistral Large 3 Nov 2024, Nova 2 Lite Oct 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.
