Mistral Medium 3.5 vs Qwen3.6 Max Preview
Too close to call on our weighted score (Mistral Medium 3.5 55, Qwen3.6 Max Preview 54). The right pick depends on what you value most.
Mistral AI
Mistral Medium 3.5
55/100- ECI141.4
- Price$1.50 / $7.50
- Context262K
Alibaba (Qwen)
Qwen3.6 Max Preview
54/100- ECI149.2
- Price$1.30 / $7.80
- Context262K
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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 (Mistral Medium 3.5 55/100, Qwen3.6 Max Preview 54/100), so choose by what matters most for your work: Qwen3.6 Max Preview for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3.6 Max PreviewCapabilities Index (ECI): Qwen3.6 Max Preview 149.2 · Mistral Medium 3.5 141.4
- Lowest priceQwen3.6 Max PreviewQwen3.6 Max Preview $2.92 · Mistral Medium 3.5 $3.00 per 1M tokens (3:1 blend)
- Longest contextAbout the sameMistral Medium 3.5 262,144 · Qwen3.6 Max Preview 262,144 tokens
- Widest inputsMistral Medium 3.5Mistral Medium 3.5: Text, Images · Qwen3.6 Max Preview: Text
- Self-hostingMistral Medium 3.5Publishes downloadable weights
| Measure | Weight | Mistral Medium 3.5 | Qwen3.6 Max Preview |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 67 | 77 |
| Price | 25% | 27 | 28 |
| Inputs & features | 15% | 70 | 35 |
| Context window | 10% | 37 | 37 |
| Overall | 100% | 55/100 | 54/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 141.4 | 149.2 (best) |
| ECI rank | #95 of 148 | #54 of 148 (best) |
| GPQA DiamondGraduate-level science questions | — | 87.4% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 91.1% |
| SWE-bench VerifiedFixing real GitHub issues | — | 76.7% |
| SimpleQA VerifiedShort factual questions | — | 52.0% |
| Price per million tokens | ||
| Input | $1.50 | $1.30 (best) |
| Output | $7.50 (best) | $7.80 |
| Cached input | $0.15 | $0.13 (best) |
| Blended (3:1) | $3.00 | $2.92 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Alibaba API |
| Limits | ||
| Context window | 262,144 tokens | 262,144 tokens |
| Max output | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeshigh | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | mistral-medium-2604 | qwen3.6-max-preview |
| API providers | 12 (best) | 10 |
| Released | Apr 29, 2026 | Apr 20, 2026 |
| Knowledge cutoff | — | Apr 2025 |
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 3.5$30.00
Qwen3.6 Max Preview$28.60
Which should you choose?
Which is better: Mistral Medium 3.5 or Qwen3.6 Max Preview?
It is close. Our weighted score puts them within a point (Mistral Medium 3.5 55/100, Qwen3.6 Max Preview 54/100), so choose by what matters most for your work: Qwen3.6 Max Preview for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mistral Medium 3.5 or Qwen3.6 Max Preview?
Qwen3.6 Max Preview is cheaper at $1.30 input / $7.80 output per million tokens (official Alibaba API price). Mistral Medium 3.5 costs $1.50 input / $7.50 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $2.92 per million tokens for Qwen3.6 Max Preview versus $3.00 for Mistral Medium 3.5 (1× as much).
Which scores higher on benchmarks?
Qwen3.6 Max Preview scores higher on the Capabilities Index (ECI): Qwen3.6 Max Preview 149.2 (#54 of 148) and Mistral Medium 3.5 141.4 (#95 of 148). Their confidence ranges do not overlap (147.6–152.0 vs 138.4–143.7), so the gap is a real one.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Medium 3.5 yet, so there is no like-for-like coding score. On overall capability, Qwen3.6 Max Preview 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?
Mistral Medium 3.5 and Qwen3.6 Max Preview share the same 262,144-token context window. Maximum output per response: Mistral Medium 3.5 up to 262,144, Qwen3.6 Max Preview up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Mistral Medium 3.5 accepts text and images; Qwen3.6 Max Preview accepts text. Mistral Medium 3.5 handles the widest range of inputs.
Are any of these open source?
Mistral Medium 3.5 publishes its weights and can be self-hosted; Qwen3.6 Max Preview is proprietary.
Which is newer?
Mistral Medium 3.5 is the newest, released Apr 29, 2026. Qwen3.6 Max Preview came out Apr 20, 2026. Knowledge cutoff: Qwen3.6 Max Preview Apr 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.