Mistral Medium 3 vs Mistral Medium 3.5 vs Qwen3 Max
Too close to call on our weighted score (Mistral Medium 3.5 55, Mistral Medium 3 53, Qwen3 Max 50). The right pick depends on what you value most.
Mistral AI
Mistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
Mistral AI
Mistral Medium 3.5
55/100- ECI141.4
- Price$1.50 / $7.50
- Context262K
Alibaba (Qwen)
Qwen3 Max
50/100- ECI142.4
- Price$1.20 / $6.00
- Context262K
Too close to call
It is close. Our weighted score puts them within 2 points (Mistral Medium 3.5 55/100, Mistral Medium 3 53/100, Qwen3 Max 50/100), so choose by what matters most for your work: Qwen3 Max for raw capability and Mistral Medium 3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3 MaxCapabilities Index (ECI): Qwen3 Max 142.4 · Mistral Medium 3.5 141.4 · Mistral Medium 3 134.1
- Lowest priceMistral Medium 3Mistral Medium 3 $0.80 · Qwen3 Max $2.40 · Mistral Medium 3.5 $3.00 per 1M tokens (3:1 blend)
- Longest contextMistral Medium 3.5 and Qwen3 MaxMistral Medium 3.5 262,144 · Qwen3 Max 262,144 · Mistral Medium 3 131,072 tokens
- Widest inputsMistral Medium 3 and Mistral Medium 3.5Mistral Medium 3: Text, Images · Mistral Medium 3.5: Text, Images · Qwen3 Max: Text
- Self-hostingMistral Medium 3.5Publishes downloadable weights
| Measure | Weight | Mistral Medium 3 | Mistral Medium 3.5 | Qwen3 Max |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 58 | 67 | 68 |
| Price | 25% | 54 | 27 | 32 |
| Inputs & features | 15% | 50 | 70 | 25 |
| Context window | 10% | 24 | 37 | 37 |
| Overall | 100% | 53/100 | 55/100 | 50/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 134.1 | 141.4 | 142.4 (best) |
| ECI rank | #117 of 148 | #95 of 148 | #91 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 59.5% | — | 72.6% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 19.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | 32.2% | — | 73.3% (best) |
| SimpleQA VerifiedShort factual questions | — | — | 48.8% |
| Price per million tokens | |||
| Input | $0.40 (best) | $1.50 | $1.20 |
| Output | $2.00 (best) | $7.50 | $6.00 |
| Cached input | — | $0.15 | — |
| Blended (3:1) | $0.80 (best) | $3.00 | $2.40 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Mistral API | Official Alibaba API |
| Limits | |||
| Context window | 131,072 tokens | 262,144 tokens (best) | 262,144 tokens (best) |
| Max output | 131,072 tokens | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yeshigh | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | mistral-medium-2505 | mistral-medium-2604 | qwen3-max |
| API providers | 5 | 12 | 16 (best) |
| Released | May 7, 2025 | Apr 29, 2026 | Sep 23, 2025 |
| Knowledge cutoff | May 2025 | — | 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$8.00
Mistral Medium 3.5$30.00
Qwen3 Max$24.00
Which should you choose?
Which is better: Mistral Medium 3, Mistral Medium 3.5 or Qwen3 Max?
It is close. Our weighted score puts them within 2 points (Mistral Medium 3.5 55/100, Mistral Medium 3 53/100, Qwen3 Max 50/100), so choose by what matters most for your work: Qwen3 Max 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, Mistral Medium 3, Mistral Medium 3.5 or Qwen3 Max?
Mistral Medium 3 is cheaper at $0.40 input / $2.00 output per million tokens (official Mistral API price). Qwen3 Max costs $1.20 input / $6.00 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 $0.80 per million tokens for Mistral Medium 3 versus $2.40 for Qwen3 Max (3× as much) and $3.00 for Mistral Medium 3.5 (3.8× as much).
Which scores higher on benchmarks?
Qwen3 Max scores higher on the Capabilities Index (ECI): Qwen3 Max 142.4 (#91 of 148), Mistral Medium 3.5 141.4 (#95 of 148) and Mistral Medium 3 134.1 (#117 of 148). The confidence ranges of the top two overlap (140.0–144.6 vs 138.4–143.7), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Medium 3, Mistral Medium 3.5 and Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, Qwen3 Max 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?
Mistral Medium 3.5 and Qwen3 Max have the largest context windows (262,144 and 262,144 tokens), against 131,072 for Mistral Medium 3. Maximum output per response: Mistral Medium 3 up to 131,072, Mistral Medium 3.5 up to 262,144, Qwen3 Max up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Mistral Medium 3 accepts text and images; Mistral Medium 3.5 accepts text and images; Qwen3 Max accepts text. Mistral Medium 3 handles the widest range of inputs.
Are any of these open source?
Mistral Medium 3.5 publishes its weights and can be self-hosted; Mistral Medium 3 and Qwen3 Max is proprietary.
Which is newer?
Mistral Medium 3.5 is the newest, released Apr 29, 2026. Qwen3 Max came out Sep 23, 2025; Mistral Medium 3 came out May 7, 2025. Knowledge cutoff: Mistral Medium 3 May 2025, Qwen3 Max 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.