Mistral Medium 3.5 vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 54.4 to 26.9. Muse Spark 1.3 is 24.0x cheaper per token.
Mistral AI · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 54.4 to 26.9, ranking #6 overall.
On price, Muse Spark 1.3 is roughly 24.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.3 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 Medium 3.5
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.3
- overall performance matters — it scores 54.4 and ranks #6 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 24.0x 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 Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Mistral Medium 3.5 · 11 for Muse Spark 1.3
Mistral Medium 3.5 and Muse Spark 1.3don'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 Medium 3.5 ($1.50/1M tokens) is 15.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).
For output processing, Mistral Medium 3.5 ($7.50/1M tokens) is 37.5x more expensive than Muse Spark 1.3 ($0.20/1M tokens).
In conclusion, Mistral Medium 3.5 is more expensive than Muse Spark 1.3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.3 accepts 1,048,576 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Mistral Medium 3.5 is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Mistral Medium 3.5 and Muse Spark 1.3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Medium 3.5
Muse Spark 1.3
License
Usage and distribution terms
Mistral Medium 3.5 is licensed under Modified MIT License, while Muse Spark 1.3 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Modified MIT License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Medium 3.5 was released on 2026-04-29, while Muse Spark 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 4 months newer than Mistral Medium 3.5.
Apr 29, 2026
4 months ago
Sep 2, 2026
1 weeks ago
4mo 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 Medium 3.5 is available from Mistral AI. Muse Spark 1.3 is available from Meta Model API.
Mistral Medium 3.5
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Medium 3.5 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Medium 3.5 vs Muse Spark 1.3.