Devstral Small 1.1 vs Muse Wonder
Muse Wonder leads the LLM Stats Score 49.2 to 8.8.
Mistral AI · Meta · Updated for 2026
Which is better?
Muse Wonder leads the overall LLM Stats Score 49.2 to 8.8, ranking #25 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Devstral Small 1.1
- you need open weights you can self-host or fine-tune
Choose Muse Wonder
- overall performance matters — it scores 49.2 and ranks #25 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Small 1.1 · 16 for Muse Wonder
Devstral Small 1.1 and Muse Wonderdon'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
Context Window
Maximum input and output token capacity
Only Devstral Small 1.1 specifies input context (128,000 tokens). Only Devstral Small 1.1 specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Muse Wonder supports multimodal inputs, whereas Devstral Small 1.1 does not.
Muse Wonder can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Small 1.1
Muse Wonder
License
Usage and distribution terms
Devstral Small 1.1 is licensed under Apache 2.0, while Muse Wonder uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Devstral Small 1.1 was released on 2025-07-11, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 15 months newer than Devstral Small 1.1.
Jul 11, 2025
1.3 years ago
Oct 12, 2026
1 weeks ago
1.3yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Small 1.1 and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Small 1.1 vs Muse Wonder.