Devstral Small 1.1 vs Muse Spark Open
Muse Spark Open leads the LLM Stats Score 44.9 to 8.8. Devstral Small 1.1 is 13.3x cheaper per token.
Mistral AI · Meta · Updated for 2026
Which is better?
Muse Spark Open leads the overall LLM Stats Score 44.9 to 8.8, ranking #43 overall.
On price, Devstral Small 1.1 is roughly 13.3x 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 Small 1.1
- cost matters — it's about 13.3x 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
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Small 1.1 · 17 for Muse Spark Open
Devstral Small 1.1 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 Small 1.1 ($0.10/1M tokens) is 12.5x cheaper than Muse Spark Open ($1.25/1M tokens).
For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 14.2x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than Devstral Small 1.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Muse Spark Open has 792.0B more parameters than Devstral Small 1.1, making it 3300.0% larger.
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Devstral Small 1.1's 128,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Devstral Small 1.1 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas Devstral Small 1.1 does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Small 1.1
Muse Spark Open
License
Usage and distribution terms
Devstral Small 1.1 is licensed under Apache 2.0, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Muse Model License
Open weights
Release Timeline
When each model was launched
Devstral Small 1.1 was released on 2025-07-11, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 15 months newer than Devstral Small 1.1.
Jul 11, 2025
1.3 years ago
Oct 15, 2026
4 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 Small 1.1 is available from Mistral AI. Muse Spark Open is available from Together.
Devstral Small 1.1
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Small 1.1 and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Small 1.1 vs Muse Spark Open.