Mistral Large 4 vs Mistral Large 3
Mistral Large 4 comes out ahead, 56 to 52 on our weighted score, though Mistral Large 3 is 29% cheaper per token.
- Our pick
Mistral AIMistral Large 4
56/100- ECI150.6
- Price$0.70 / $2.10
- Context1.05M
- Mistral AI
Mistral Large 3
52/100- ECI—
- Price$0.50 / $1.50
- Context262K
Add a model
Make it a three-way comparison.
Mistral Large 4 is our pick
Mistral Large 4 is the better all-round choice, scoring 56/100 against Mistral Large 3 (52). It leads on inputs & features and context window. Mistral Large 3 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 priceMistral Large 3Mistral Large 3 $0.75 · Mistral Large 4 $1.05 per 1M tokens (3:1 blend)
- Longest contextMistral Large 4Mistral Large 4 1,048,576 · Mistral Large 3 262,144 tokens
- Widest inputsSame inputsMistral Large 4: Text, Images · Mistral Large 3: Text, Images
- Self-hostingMistral Large 3Publishes downloadable weights
| Measure | Weight | Mistral Large 4 | Mistral Large 3 |
|---|---|---|---|
| Price | 50% | 47 | 53 |
| Inputs & features | 30% | 70 | 60 |
| Context window | 20% | 61 | 37 |
| Overall | 100% | 56/100 | 52/100 |
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 4Mistral AI | Mistral Large 3Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 150.6 | — |
| ECI rank | #57 of 165 | — |
| GPQA DiamondGraduate-level science questions | 88.1% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 58.6% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 98.3% | — |
| SimpleQA VerifiedShort factual questions | 20.0% | — |
| Price per million tokens | ||
| Input | $0.70 | $0.50 (best) |
| Output | $2.10 | $1.50 (best) |
| Cached input | $0.07 | $0.05 (best) |
| Blended (3:1) | $1.05 | $0.75 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Mistral API |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 262,144 tokens |
| Max output | 262,144 tokens | 262,144 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeslow · medium · high | No |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | mistral-large-4 | mistral-large-2512 |
| API providers | 15 | 17 (best) |
| Released | Oct 6, 2026 | Dec 2, 2025 |
| Knowledge cutoff | — | Nov 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 4$11.20
- Mistral Large 3$8.00
Which should you choose?
Which is better: Mistral Large 4 or Mistral Large 3?
Mistral Large 4 is the better all-round choice, scoring 56/100 against Mistral Large 3 (52). It leads on inputs & features and context window. Mistral Large 3 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 4 or Mistral Large 3?
Mistral Large 3 is cheaper at $0.50 input / $1.50 output per million tokens (official Mistral API price). Mistral Large 4 costs $0.70 input / $2.10 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.75 per million tokens for Mistral Large 3 versus $1.05 for Mistral Large 4 (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mistral Large 4 has an ECI of 150.6 and Mistral Large 3 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large 4 and Mistral Large 3 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 4 has the largest context window at 1,048,576 tokens, against 262,144 for Mistral Large 3. Maximum output per response: Mistral Large 4 up to 262,144, Mistral Large 3 up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Mistral Large 4 accepts text and images; Mistral Large 3 accepts text and images. They handle the same number of input types.
Are any of these open source?
Mistral Large 3 publishes its weights and can be self-hosted; Mistral Large 4 is proprietary.
Which is newer?
Mistral Large 4 is the newest, released Oct 6, 2026. Mistral Large 3 came out Dec 2, 2025. Knowledge cutoff: Mistral Large 3 Nov 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.
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