Devstral Medium vs Qwen3.8 Max
Qwen3.8 Max leads the LLM Stats Score 51.9 to 13.6. Devstral Medium is 3.1x cheaper per token.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Max leads the overall LLM Stats Score 51.9 to 13.6, ranking #11 overall.
On price, Devstral Medium is roughly 3.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.8 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 3.1x cheaper per token
Choose Qwen3.8 Max
- overall performance matters — it scores 51.9 and ranks #11 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Medium · 42 for Qwen3.8 Max
Devstral Medium and Qwen3.8 Maxdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 4.1x cheaper than Qwen3.8 Max ($1.65/1M tokens).
For output processing, Devstral Medium ($2.00/1M tokens) is 2.5x cheaper than Qwen3.8 Max ($4.95/1M tokens).
In conclusion, Qwen3.8 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
Qwen3.8 Max accepts 256,000 input tokens compared to Devstral Medium's 128,000 tokens. Qwen3.8 Max can generate longer responses up to 256,000 tokens, while Devstral Medium is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.8 Max supports multimodal inputs, whereas Devstral Medium does not.
Qwen3.8 Max can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Medium
Qwen3.8 Max
License
Usage and distribution terms
Devstral Medium is licensed under a proprietary license, while Qwen3.8 Max uses Qwen3.8-Max License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen3.8-Max License
Open weights
Release Timeline
When each model was launched
Devstral Medium was released on 2025-07-10, while Qwen3.8 Max was released on 2026-08-02.
Qwen3.8 Max is 13 months newer than Devstral Medium.
Jul 10, 2025
1.2 years ago
Aug 2, 2026
1 months ago
1.1yr 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. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.
Devstral Medium
Qwen3.8 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Medium and Qwen3.8 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Medium vs Qwen3.8 Max.