Mistral Medium 3 vs Claude Sonnet 3.7
Too close to call on our weighted score (Mistral Medium 3 53, Claude Sonnet 3.7 50). The right pick depends on what you value most.
Mistral AI
Mistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
Anthropic
Claude Sonnet 3.7
50/100- ECI141.2
- Price$3.00 / $15.00
- Context200K
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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 (Mistral Medium 3 53/100, Claude Sonnet 3.7 50/100), so choose by what matters most for your work: Claude Sonnet 3.7 for raw capability and Mistral Medium 3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Sonnet 3.7Capabilities Index (ECI): Claude Sonnet 3.7 141.2 · Mistral Medium 3 134.1
- Lowest priceMistral Medium 3Mistral Medium 3 $0.80 · Claude Sonnet 3.7 $6.00 per 1M tokens (3:1 blend)
- Longest contextClaude Sonnet 3.7Claude Sonnet 3.7 200,000 · Mistral Medium 3 131,072 tokens
- Widest inputsClaude Sonnet 3.7Mistral Medium 3: Text, Images · Claude Sonnet 3.7: Text, Images, PDFs
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Mistral Medium 3 | Claude Sonnet 3.7 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 58 | 67 |
| Price | 25% | 54 | 13 |
| Inputs & features | 15% | 50 | 70 |
| Context window | 10% | 24 | 32 |
| Overall | 100% | 53/100 | 50/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 134.1 | 141.2 (best) |
| ECI rank | #117 of 148 | #96 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 59.5% | 79.7% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 32.2% | 57.8% (best) |
| SWE-bench VerifiedFixing real GitHub issues | — | 61.0% |
| Price per million tokens | ||
| Input | $0.40 (best) | $3.00 |
| Output | $2.00 (best) | $15.00 |
| Cached input | — | — |
| Blended (3:1) | $0.80 (best) | $6.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 3 providers |
| Limits | ||
| Context window | 131,072 tokens | 200,000 tokens (best) |
| Max output | 131,072 tokens (best) | 64,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | mistral-medium-2505 | — |
| API providers | 5 (best) | 3 |
| Released | May 7, 2025 | Feb 19, 2025 |
| Knowledge cutoff | May 2025 | Oct 31, 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 Medium 3$8.00
Claude Sonnet 3.7$60.00
Which should you choose?
Which is better: Mistral Medium 3 or Claude Sonnet 3.7?
It is close. Our weighted score puts them within 2 points (Mistral Medium 3 53/100, Claude Sonnet 3.7 50/100), so choose by what matters most for your work: Claude Sonnet 3.7 for raw capability and Mistral Medium 3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mistral Medium 3 or Claude Sonnet 3.7?
Mistral Medium 3 is cheaper at $0.40 input / $2.00 output per million tokens (official Mistral API price). Claude Sonnet 3.7 costs $3.00 input / $15.00 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.80 per million tokens for Mistral Medium 3 versus $6.00 for Claude Sonnet 3.7 (7.5× as much).
Which scores higher on benchmarks?
Claude Sonnet 3.7 scores higher on the Capabilities Index (ECI): Claude Sonnet 3.7 141.2 (#96 of 148) and Mistral Medium 3 134.1 (#117 of 148). Their confidence ranges do not overlap (138.7–142.9 vs 130.5–135.6), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Sonnet 3.7 79.7%, Mistral Medium 3 59.5%; OTIS Mock AIME 2024–2025 — Claude Sonnet 3.7 57.8%, Mistral Medium 3 32.2%.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Medium 3 yet, so there is no like-for-like coding score. On overall capability, Claude Sonnet 3.7 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Claude Sonnet 3.7 has the largest context window at 200,000 tokens, against 131,072 for Mistral Medium 3. Maximum output per response: Mistral Medium 3 up to 131,072, Claude Sonnet 3.7 up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Mistral Medium 3 accepts text and images; Claude Sonnet 3.7 accepts text, images and PDFs. Claude Sonnet 3.7 handles the widest range of inputs.
Are any of these open source?
No. Mistral Medium 3 and Claude Sonnet 3.7 are proprietary and only available through APIs and apps.
Which is newer?
Mistral Medium 3 is the newest, released May 7, 2025. Claude Sonnet 3.7 came out Feb 19, 2025. Knowledge cutoff: Mistral Medium 3 May 2025, Claude Sonnet 3.7 Oct 31, 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 Oct 4, 2026.