Muse Spark Open vs Pixtral Large
Muse Spark Open leads the LLM Stats Score 44.9 to 11.5. Muse Spark Open is 1.5x cheaper per token.
Meta · Mistral AI · Updated for 2026
Which is better?
Muse Spark Open leads the overall LLM Stats Score 44.9 to 11.5, ranking #43 overall.
On price, Muse Spark Open is roughly 1.5x 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 Muse Spark Open
- overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 1.5x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Pixtral Large
- you want predictable pricing at $2.00/M input and $6.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for Muse Spark Open · 7 for Pixtral Large
Muse Spark Open and Pixtral Largedon'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, Muse Spark Open ($1.25/1M tokens) is 1.6x cheaper than Pixtral Large ($2.00/1M tokens).
For output processing, Muse Spark Open ($4.25/1M tokens) is 1.4x cheaper than Pixtral Large ($6.00/1M tokens).
In conclusion, Pixtral Large is more expensive than Muse Spark Open.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Muse Spark Open has 692.0B more parameters than Pixtral Large, making it 558.1% larger.
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Pixtral Large's 128,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Pixtral Large is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Muse Spark Open and Pixtral Large support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark Open
Pixtral Large
License
Usage and distribution terms
Muse Spark Open is licensed under Muse Model License, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.
License differences may affect how you can use these models in commercial or open-source projects.
Muse Model License
Open weights
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
Muse Spark Open was released on 2026-10-15, while Pixtral Large was released on 2024-11-18.
Muse Spark Open is 23 months newer than Pixtral Large.
Oct 15, 2026
2 days ago
1.9yr newerNov 18, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Muse Spark Open is available from Together. Pixtral Large is available from Mistral AI.
Muse Spark Open
Pixtral Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark Open and Pixtral Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark Open vs Pixtral Large.