Devstral Medium vs Muse Spark Open
Muse Spark Open leads the LLM Stats Score 44.9 to 13.4. Devstral Medium is 2.5x cheaper per token.
Mistral AI · Meta · Updated for 2026
Which is better?
Muse Spark Open leads the overall LLM Stats Score 44.9 to 13.4, ranking #43 overall.
On price, Devstral Medium is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark Open also accepts a larger context window (1,048,576 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 2.5x cheaper per token
Choose Muse Spark Open
- overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 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 · 17 for Muse Spark Open
Devstral Medium and Muse Spark Opendon'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 3.1x cheaper than Muse Spark Open ($1.25/1M tokens).
For output processing, Devstral Medium ($2.00/1M tokens) is 2.1x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than Devstral Medium.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Devstral Medium's 128,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Devstral Medium is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas Devstral Medium does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Medium
Muse Spark Open
License
Usage and distribution terms
Devstral Medium is licensed under a proprietary license, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Muse Model License
Open weights
Release Timeline
When each model was launched
Devstral Medium was released on 2025-07-10, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 15 months newer than Devstral Medium.
Jul 10, 2025
1.3 years ago
Oct 15, 2026
2 days 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.
Provider Availability
Devstral Medium is available from Mistral AI. Muse Spark Open is available from Together.
Devstral Medium
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Medium and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Medium vs Muse Spark Open.