Mistral Small vs Muse Spark Open
Comparing Mistral Small and Muse Spark Open across benchmarks, pricing, and capabilities.
Mistral AI · Meta · Updated for 2026
Which is better?
Mistral Small and Muse Spark Open trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small is roughly 6.7x 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 Mistral Small
- cost matters — it's about 6.7x cheaper per token
Choose Muse Spark Open
- 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
0 reported for Mistral Small · 17 for Muse Spark Open
Mistral Small 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, Mistral Small ($0.20/1M tokens) is 6.3x cheaper than Muse Spark Open ($1.25/1M tokens).
For output processing, Mistral Small ($0.60/1M tokens) is 7.1x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than Mistral Small.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Muse Spark Open has 794.0B more parameters than Mistral Small, making it 3609.1% larger.
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Mistral Small's 32,768 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Mistral Small is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas Mistral Small does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Small
Muse Spark Open
License
Usage and distribution terms
Mistral Small is licensed under Mistral Research 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.
Mistral Research License
Open weights
Muse Model License
Open weights
Release Timeline
When each model was launched
Mistral Small was released on 2024-09-17, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 25 months newer than Mistral Small.
Sep 17, 2024
2.1 years ago
Oct 15, 2026
4 days ago
2.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mistral Small is available from Mistral AI. Muse Spark Open is available from Together.
Mistral Small
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Small and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Small vs Muse Spark Open.