o3-pro vs Mistral Medium 3 vs Claude Opus 4.1
Too close to call on our weighted score (Mistral Medium 3 53, o3-pro 51, Claude Opus 4.1 49). The right pick depends on what you value most.
OpenAIo3-pro
51/100- ECI147.4
- Price$20.00 / $80.00
- Context200K
Mistral AIMistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
AnthropicClaude Opus 4.1
49/100- ECI144.1
- Price$15.00 / $75.00
- Context200K
Too close to call
It is close. Our weighted score puts them within 1 points (Mistral Medium 3 53/100, o3-pro 51/100, Claude Opus 4.1 49/100), so choose by what matters most for your work: o3-pro for raw capability and Mistral Medium 3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- Capabilityo3-proCapabilities Index (ECI): o3-pro 147.4 · Claude Opus 4.1 144.1 · Mistral Medium 3 134.1
- Lowest priceMistral Medium 3Mistral Medium 3 $0.80 · Claude Opus 4.1 $30.00 · o3-pro $35.00 per 1M tokens (3:1 blend)
- Longest contexto3-pro and Claude Opus 4.1o3-pro 200,000 · Claude Opus 4.1 200,000 · Mistral Medium 3 131,072 tokens
- Widest inputsClaude Opus 4.1o3-pro: Text, Images · Mistral Medium 3: Text, Images · Claude Opus 4.1: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | o3-pro | Mistral Medium 3 | Claude Opus 4.1 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 75 | 58 | 71 |
| Price | 25% | 0 | 54 | 0 |
| Inputs & features | 15% | 70 | 50 | 70 |
| Context window | 10% | 32 | 24 | 32 |
| Overall | 100% | 51/100 | 53/100 | 49/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | o3-proOpenAI | Mistral Medium 3Mistral AI | Claude Opus 4.1Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 147.4 (best) | 134.1 | 144.1 |
| ECI rank | #60 of 148 (best) | #117 of 148 | #81 of 148 |
| GPQA DiamondGraduate-level science questions | — | 59.5% | 77.3% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 12.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 32.2% | 68.9% (best) |
| SWE-bench VerifiedFixing real GitHub issues | — | — | 73.4% |
| Price per million tokens | |||
| Input | $20.00 | $0.40 (best) | $15.00 |
| Output | $80.00 | $2.00 (best) | $75.00 |
| Cached input | — | — | — |
| Blended (3:1) | $35.00 | $0.80 (best) | $30.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Mistral API | Median of 14 providers |
| Limits | |||
| Context window | 200,000 tokens (best) | 131,072 tokens | 200,000 tokens (best) |
| Max output | 100,000 tokens | 131,072 tokens (best) | 32,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | o3-pro | mistral-medium-2505 | — |
| API providers | 6 | 5 | 14 (best) |
| Released | Jun 10, 2025 | May 7, 2025 | Aug 5, 2025 |
| Knowledge cutoff | May 2024 | May 2025 | Mar 31, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- o3-pro$360.00
- Mistral Medium 3$8.00
- Claude Opus 4.1$300.00
Which should you choose?
Which is better: o3-pro, Mistral Medium 3 or Claude Opus 4.1?
It is close. Our weighted score puts them within 1 points (Mistral Medium 3 53/100, o3-pro 51/100, Claude Opus 4.1 49/100), so choose by what matters most for your work: o3-pro 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, o3-pro, Mistral Medium 3 or Claude Opus 4.1?
Mistral Medium 3 is cheaper at $0.40 input / $2.00 output per million tokens (official Mistral API price). Claude Opus 4.1 costs $15.00 input / $75.00 output per million tokens (median across 14 API providers); o3-pro costs $20.00 input / $80.00 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 $30.00 for Claude Opus 4.1 (38× as much) and $35.00 for o3-pro (44× as much).
Which scores higher on benchmarks?
o3-pro scores higher on the Capabilities Index (ECI): o3-pro 147.4 (#60 of 148), Claude Opus 4.1 144.1 (#81 of 148) and Mistral Medium 3 134.1 (#117 of 148). The confidence ranges of the top two overlap (145.8–149.7 vs 141.6–146.0), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for o3-pro and Mistral Medium 3 yet, so there is no like-for-like coding score. On overall capability, o3-pro leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
o3-pro and Claude Opus 4.1 have the largest context windows (200,000 and 200,000 tokens), against 131,072 for Mistral Medium 3. Maximum output per response: o3-pro up to 100,000, Mistral Medium 3 up to 131,072, Claude Opus 4.1 up to 32,000 tokens.
Which can read images, PDFs, audio or video?
o3-pro accepts text and images; Mistral Medium 3 accepts text and images; Claude Opus 4.1 accepts text, images and PDFs. Claude Opus 4.1 handles the widest range of inputs.
Are any of these open source?
No. o3-pro, Mistral Medium 3 and Claude Opus 4.1 are proprietary and only available through APIs and apps.
Which is newer?
Claude Opus 4.1 is the newest, released Aug 5, 2025. o3-pro came out Jun 10, 2025; Mistral Medium 3 came out May 7, 2025. Knowledge cutoff: o3-pro May 2024, Mistral Medium 3 May 2025, Claude Opus 4.1 Mar 31, 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.
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