Devstral Medium vs Qwen3 Max
Devstral Medium and Qwen3 Max are closely matched at 13.6 and 21.7 on the LLM Stats Score. Devstral Medium is 2.0x cheaper per token.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Devstral Medium and Qwen3 Max are closely matched on the overall LLM Stats Score at 13.6 and 21.7.
In the 1 individual benchmarks reported for both models, Qwen3 Max wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Devstral Medium is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 Max also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Devstral Medium
- cost matters — it's about 2.0x cheaper per token
Choose Qwen3 Max
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Dec 2025
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Medium · 6 for Qwen3 Max
Devstral Medium outperforms in 0 benchmarks, while Qwen3 Max is better at 1 benchmark (SWE-Bench Verified).
Qwen3 Max significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Devstral Medium ($0.40/1M tokens) is 1.3x cheaper than Qwen3 Max ($0.50/1M tokens).
For output processing, Devstral Medium ($2.00/1M tokens) is 2.5x cheaper than Qwen3 Max ($5.00/1M tokens).
In conclusion, Qwen3 Max is more expensive than Devstral Medium.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3 Max accepts 256,000 input tokens compared to Devstral Medium's 128,000 tokens. Qwen3 Max can generate longer responses up to 131,072 tokens, while Devstral Medium is limited to 128,000 tokens.
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Devstral Medium was released on 2025-07-10, while Qwen3 Max was released on 2025-12-15.
Qwen3 Max is 5 months newer than Devstral Medium.
Jul 10, 2025
1.2 years ago
Dec 15, 2025
9 months ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Devstral Medium is available from Mistral AI. Qwen3 Max is available from Novita, DeepInfra.
Devstral Medium
Qwen3 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Medium and Qwen3 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Medium vs Qwen3 Max.