Model Comparison
Qwen3.7 Max vs Mistral Medium 3.5Which is better in 2026?
Qwen3.7 Max significantly outperforms across most benchmarks. Qwen3.7 Max is 1.6x cheaper per token.
Verdict: Qwen3.7 Max vs Mistral Medium 3.5 — which is better?
Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and Mistral Medium 3.5 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Qwen3.7 Max outperforms in 4 benchmarks (Finance Agent v2, GDPval-AA, IFBench, SWE-Bench Verified), while Mistral Medium 3.5 is better at 0 benchmarks. Qwen3.7 Max significantly outperforms across most benchmarks.
On price, Qwen3.7 Max is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.7 Max also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Qwen3.7 Max if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- cost matters — it's about 1.6x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped May 2026
Choose Mistral Medium 3.5 if…
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.7 Max outperforms in 4 benchmarks (Finance Agent v2, GDPval-AA, IFBench, SWE-Bench Verified), while Mistral Medium 3.5 is better at 0 benchmarks.
Qwen3.7 Max significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.7 Max ($1.25/1M tokens) is 1.2x cheaper than Mistral Medium 3.5 ($1.50/1M tokens).
For output processing, Qwen3.7 Max ($3.75/1M tokens) is 2.0x cheaper than Mistral Medium 3.5 ($7.50/1M tokens).
In conclusion, Mistral Medium 3.5 is more expensive than Qwen3.7 Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3.7 Max accepts 1,000,000 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while Qwen3.7 Max is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Mistral Medium 3.5 supports multimodal inputs, whereas Qwen3.7 Max does not.
Mistral Medium 3.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.7 Max
Mistral Medium 3.5
License
Usage and distribution terms
Qwen3.7 Max is licensed under a proprietary license, while Mistral Medium 3.5 uses Modified MIT License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Modified MIT License
Open weights
Release Timeline
When each model was launched
Qwen3.7 Max was released on 2026-05-19, while Mistral Medium 3.5 was released on 2026-04-29.
Qwen3.7 Max is 1 month newer than Mistral Medium 3.5.
May 19, 2026
1 months ago
2w newerApr 29, 2026
2 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3.7 Max is available from Novita, Together. Mistral Medium 3.5 is available from Mistral AI.
Qwen3.7 Max
Mistral Medium 3.5
Outputs Comparison
Key Takeaways
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
Mistral Medium 3.5
View detailsMistral AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.7 Max and Mistral Medium 3.5 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.7 Max vs Mistral Medium 3.5.