Magistral Medium vs Qwen Max vs Sonar Reasoning Pro
Too close to call on our weighted score (Magistral Medium 30, Sonar Reasoning Pro 27, Qwen Max 22). The right pick depends on what you value most.
Mistral AIMagistral Medium
30/100- ECI—
- Price$2.00 / $5.00
- Context128K
Alibaba (Qwen)Qwen Max
22/100- ECI—
- Price$1.60 / $6.40
- Context33K
PerplexitySonar Reasoning Pro
27/100- ECI—
- Price$2.00 / $8.00
- Context128K
Too close to call
It is close. Our weighted score puts them within 3 points (Magistral Medium 30/100, Sonar Reasoning Pro 27/100, Qwen Max 22/100), so choose by what matters most for your work: Magistral Medium on price. 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 · Qwen Max $2.80 · Sonar Reasoning Pro $3.50 per 1M tokens (3:1 blend)
- Longest contextMagistral Medium and Sonar Reasoning ProMagistral Medium 128,000 · Sonar Reasoning Pro 128,000 · Qwen Max 32,768 tokens
- Widest inputsSonar Reasoning ProMagistral Medium: Text · Qwen Max: Text · Sonar Reasoning Pro: Text, Images
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Magistral Medium | Qwen Max | Sonar Reasoning Pro |
|---|---|---|---|---|
| Price | 50% | 29 | 29 | 24 |
| Inputs & features | 30% | 35 | 25 | 35 |
| Context window | 20% | 24 | 0 | 24 |
| Overall | 100% | 30/100 | 22/100 | 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 | Magistral MediumMistral AI | Qwen MaxAlibaba (Qwen) | Sonar Reasoning ProPerplexity |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.00 | $1.60 (best) | $2.00 |
| Output | $5.00 (best) | $6.40 | $8.00 |
| Cached input | — | — | — |
| Blended (3:1) | $2.75 (best) | $2.80 | $3.50 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Alibaba API | Official Perplexity API |
| Limits | |||
| Context window | 128,000 tokens (best) | 32,768 tokens | 128,000 tokens (best) |
| Max output | 16,384 tokens (best) | 8,192 tokens | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | Yesminimal · low · medium · high |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | magistral-medium-latest | qwen-max | sonar-reasoning-pro |
| API providers | 4 | 6 (best) | 4 |
| Released | Mar 17, 2025 | Apr 3, 2024 | Jan 1, 2024 |
| Knowledge cutoff | Jun 2025 | Apr 2024 | Sep 1, 2025 |
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
- Qwen Max$28.80
- Sonar Reasoning Pro$36.00
Which should you choose?
Which is better: Magistral Medium, Qwen Max or Sonar Reasoning Pro?
It is close. Our weighted score puts them within 3 points (Magistral Medium 30/100, Sonar Reasoning Pro 27/100, Qwen Max 22/100), so choose by what matters most for your work: Magistral Medium on price. 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, Qwen Max or Sonar Reasoning Pro?
Magistral Medium is cheaper at $2.00 input / $5.00 output per million tokens (official Mistral API price). Qwen Max costs $1.60 input / $6.40 output per million tokens (official Alibaba API price); Sonar Reasoning Pro costs $2.00 input / $8.00 output per million tokens (official Perplexity 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 $2.80 for Qwen Max (1× as much) and $3.50 for Sonar Reasoning Pro (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Magistral Medium has not been scored yet, Qwen Max has not been scored yet and Sonar Reasoning Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Magistral Medium, Qwen Max and Sonar Reasoning Pro yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Sonar Reasoning Pro does not support tool calling, which most coding agents need.
Which has the bigger context window?
Magistral Medium and Sonar Reasoning Pro have the largest context windows (128,000 and 128,000 tokens), against 32,768 for Qwen Max. Maximum output per response: Magistral Medium up to 16,384, Qwen Max up to 8,192, Sonar Reasoning Pro up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Magistral Medium accepts text; Qwen Max accepts text; Sonar Reasoning Pro accepts text and images. Sonar Reasoning Pro handles the widest range of inputs.
Are any of these open source?
No. Magistral Medium, Qwen Max and Sonar Reasoning Pro are proprietary and only available through APIs and apps.
Which is newer?
Magistral Medium is the newest, released Mar 17, 2025. Qwen Max came out Apr 3, 2024; Sonar Reasoning Pro came out Jan 1, 2024. Knowledge cutoff: Magistral Medium Jun 2025, Qwen Max Apr 2024, Sonar Reasoning Pro Sep 1, 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.
