Magistral Medium vs o1-pro
Too close to call on our weighted score (Magistral Medium 30, o1-pro 27). The right pick depends on what you value most.
Mistral AI
Magistral Medium
30/100- ECI—
- Price$2.00 / $5.00
- Context128K
OpenAI
o1-pro
27/100- ECI—
- Price$150.00 / $600.00
- 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 (Magistral Medium 30/100, o1-pro 27/100), so choose by what matters most for your work: Magistral Medium on price and o1-pro for long inputs. 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 priceMagistral MediumMagistral Medium $2.75 · o1-pro $262.50 per 1M tokens (3:1 blend)
- Longest contexto1-proo1-pro 200,000 · Magistral Medium 128,000 tokens
- Widest inputso1-proMagistral Medium: Text · o1-pro: Text, Images
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Magistral Medium | o1-pro |
|---|---|---|---|
| Price | 50% | 29 | 0 |
| Inputs & features | 30% | 35 | 70 |
| Context window | 20% | 24 | 32 |
| Overall | 100% | 30/100 | 27/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $2.00 (best) | $150.00 |
| Output | $5.00 (best) | $600.00 |
| Cached input | — | — |
| Blended (3:1) | $2.75 (best) | $262.50 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official OpenAI API |
| Limits | ||
| Context window | 128,000 tokens | 200,000 tokens (best) |
| Max output | 16,384 tokens | 100,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yeslow · medium · high |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | magistral-medium-latest | o1-pro |
| API providers | 4 | 5 (best) |
| Released | Mar 17, 2025 | Mar 19, 2025 |
| Knowledge cutoff | Jun 2025 | Sep 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Magistral Medium$30.00
o1-pro$2,700
Which should you choose?
Which is better: Magistral Medium or o1-pro?
It is close. Our weighted score puts them within 2 points (Magistral Medium 30/100, o1-pro 27/100), so choose by what matters most for your work: Magistral Medium on price and o1-pro for long inputs. 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, Magistral Medium or o1-pro?
Magistral Medium is cheaper at $2.00 input / $5.00 output per million tokens (official Mistral API price). o1-pro costs $150.00 input / $600.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $2.75 per million tokens for Magistral Medium versus $262.50 for o1-pro (95× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Magistral Medium has not been scored yet and o1-pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Magistral Medium and o1-pro 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?
o1-pro has the largest context window at 200,000 tokens, against 128,000 for Magistral Medium. Maximum output per response: Magistral Medium up to 16,384, o1-pro up to 100,000 tokens.
Which can read images, PDFs, audio or video?
Magistral Medium accepts text; o1-pro accepts text and images. o1-pro handles the widest range of inputs.
Are any of these open source?
No. Magistral Medium and o1-pro are proprietary and only available through APIs and apps.
Which is newer?
o1-pro is the newest, released Mar 19, 2025. Magistral Medium came out Mar 17, 2025. Knowledge cutoff: Magistral Medium Jun 2025, o1-pro Sep 2023.
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.