Mistral Medium 3 vs GPT-4.1
Too close to call on our weighted score (GPT-4.1 53, Mistral Medium 3 53). The right pick depends on what you value most.
Mistral AI
Mistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
OpenAI
GPT-4.1
53/100- ECI136.8
- Price$2.00 / $8.00
- Context1.05M
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (GPT-4.1 53/100, Mistral Medium 3 53/100), so choose by what matters most for your work: GPT-4.1 for raw capability and Mistral Medium 3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-4.1Capabilities Index (ECI): GPT-4.1 136.8 · Mistral Medium 3 134.1
- Lowest priceMistral Medium 3Mistral Medium 3 $0.80 · GPT-4.1 $3.50 per 1M tokens (3:1 blend)
- Longest contextGPT-4.1GPT-4.1 1,047,576 · Mistral Medium 3 131,072 tokens
- Widest inputsGPT-4.1Mistral Medium 3: Text, Images · GPT-4.1: Text, Images, PDFs
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Mistral Medium 3 | GPT-4.1 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 58 | 61 |
| Price | 25% | 54 | 24 |
| Inputs & features | 15% | 50 | 70 |
| Context window | 10% | 24 | 61 |
| Overall | 100% | 53/100 | 53/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 134.1 | 136.8 (best) |
| ECI rank | #117 of 148 | #111 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 59.5% | 66.9% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | 6.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | 32.2% | 38.3% (best) |
| SWE-bench VerifiedFixing real GitHub issues | — | 48.5% |
| SimpleQA VerifiedShort factual questions | — | 31.1% |
| Price per million tokens | ||
| Input | $0.40 (best) | $2.00 |
| Output | $2.00 (best) | $8.00 |
| Cached input | — | $0.50 |
| Blended (3:1) | $0.80 (best) | $3.50 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official OpenAI API |
| Limits | ||
| Context window | 131,072 tokens | 1,047,576 tokens (best) |
| Max output | 131,072 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | mistral-medium-2505 | gpt-4.1 |
| API providers | 5 | 25 (best) |
| Released | May 7, 2025 | Apr 14, 2025 |
| Knowledge cutoff | May 2025 | Apr 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
GPT-4.1$36.00
Which should you choose?
Which is better: Mistral Medium 3 or GPT-4.1?
It is close. Our weighted score puts them within a point (GPT-4.1 53/100, Mistral Medium 3 53/100), so choose by what matters most for your work: GPT-4.1 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 GPT-4.1?
Mistral Medium 3 is cheaper at $0.40 input / $2.00 output per million tokens (official Mistral API price). GPT-4.1 costs $2.00 input / $8.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.80 per million tokens for Mistral Medium 3 versus $3.50 for GPT-4.1 (4.4× as much).
Which scores higher on benchmarks?
GPT-4.1 scores higher on the Capabilities Index (ECI): GPT-4.1 136.8 (#111 of 148) and Mistral Medium 3 134.1 (#117 of 148). The confidence ranges of the top two overlap (133.6–138.4 vs 130.5–135.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-4.1 66.9%, Mistral Medium 3 59.5%; OTIS Mock AIME 2024–2025 — GPT-4.1 38.3%, 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, GPT-4.1 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?
GPT-4.1 has the largest context window at 1,047,576 tokens, against 131,072 for Mistral Medium 3. Maximum output per response: Mistral Medium 3 up to 131,072, GPT-4.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Mistral Medium 3 accepts text and images; GPT-4.1 accepts text, images and PDFs. GPT-4.1 handles the widest range of inputs.
Are any of these open source?
No. Mistral Medium 3 and GPT-4.1 are proprietary and only available through APIs and apps.
Which is newer?
Mistral Medium 3 is the newest, released May 7, 2025. GPT-4.1 came out Apr 14, 2025. Knowledge cutoff: Mistral Medium 3 May 2025, GPT-4.1 Apr 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.