o3-pro vs Magistral Medium
Too close to call on our weighted score (Magistral Medium 30, o3-pro 27). The right pick depends on what you value most.
OpenAIo3-pro
27/100- ECI147.4
- Price$20.00 / $80.00
- Context200K
Mistral AIMagistral Medium
30/100- ECI—
- Price$2.00 / $5.00
- Context128K
Add a model
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, o3-pro 27/100), so choose by what matters most for your work: Magistral Medium on price and o3-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 · o3-pro $35.00 per 1M tokens (3:1 blend)
- Longest contexto3-proo3-pro 200,000 · Magistral Medium 128,000 tokens
- Widest inputso3-proo3-pro: Text, Images · Magistral Medium: Text
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | o3-pro | Magistral Medium |
|---|---|---|---|
| Price | 50% | 0 | 29 |
| Inputs & features | 30% | 70 | 35 |
| Context window | 20% | 32 | 24 |
| Overall | 100% | 27/100 | 30/100 |
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 | o3-proOpenAI | Magistral MediumMistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 147.4 | — |
| ECI rank | #60 of 148 | — |
| Price per million tokens | ||
| Input | $20.00 | $2.00 (best) |
| Output | $80.00 | $5.00 (best) |
| Cached input | — | — |
| Blended (3:1) | $35.00 | $2.75 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Mistral API |
| Limits | ||
| Context window | 200,000 tokens (best) | 128,000 tokens |
| Max output | 100,000 tokens (best) | 16,384 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | o3-pro | magistral-medium-latest |
| API providers | 6 (best) | 4 |
| Released | Jun 10, 2025 | Mar 17, 2025 |
| Knowledge cutoff | May 2024 | Jun 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
- Magistral Medium$30.00
Which should you choose?
Which is better: o3-pro or Magistral Medium?
It is close. Our weighted score puts them within 2 points (Magistral Medium 30/100, o3-pro 27/100), so choose by what matters most for your work: Magistral Medium on price and o3-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, o3-pro or Magistral Medium?
Magistral Medium is cheaper at $2.00 input / $5.00 output per million tokens (official Mistral API price). 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 $2.75 per million tokens for Magistral Medium versus $35.00 for o3-pro (13× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. o3-pro has an ECI of 147.4 and Magistral Medium has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for o3-pro and Magistral Medium 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?
o3-pro has the largest context window at 200,000 tokens, against 128,000 for Magistral Medium. Maximum output per response: o3-pro up to 100,000, Magistral Medium up to 16,384 tokens.
Which can read images, PDFs, audio or video?
o3-pro accepts text and images; Magistral Medium accepts text. o3-pro handles the widest range of inputs.
Are any of these open source?
No. o3-pro and Magistral Medium are proprietary and only available through APIs and apps.
Which is newer?
o3-pro is the newest, released Jun 10, 2025. Magistral Medium came out Mar 17, 2025. Knowledge cutoff: o3-pro May 2024, Magistral Medium Jun 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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