Model Comparison
Mistral Medium 3.5 vs Muse Spark 1.1Which is better in 2026?
Muse Spark 1.1 significantly outperforms across most benchmarks. Muse Spark 1.1 is 1.5x cheaper per token.
Verdict: Mistral Medium 3.5 vs Muse Spark 1.1 — which is better?
Mistral Medium 3.5 (by Mistral AI) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Mistral Medium 3.5 outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 1 benchmark (Finance Agent v2). Muse Spark 1.1 significantly outperforms across most benchmarks.
On price, Muse Spark 1.1 is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Mistral Medium 3.5 if…
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.1 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- 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 Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Medium 3.5 outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 1 benchmark (Finance Agent v2).
Muse Spark 1.1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Medium 3.5 ($1.50/1M tokens) is 1.2x more expensive than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, Mistral Medium 3.5 ($7.50/1M tokens) is 1.8x more expensive than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, Mistral Medium 3.5 is more expensive than Muse Spark 1.1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.1 accepts 1,048,576 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while Muse Spark 1.1 is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Both Mistral Medium 3.5 and Muse Spark 1.1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Medium 3.5
Muse Spark 1.1
License
Usage and distribution terms
Mistral Medium 3.5 is licensed under Modified MIT License, while Muse Spark 1.1 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 1.1 was released on 2026-07-09.
Muse Spark 1.1 is 2 months newer than Mistral Medium 3.5.
Apr 29, 2026
3 months ago
Jul 9, 2026
2 weeks ago
2mo 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 1.1 is available from Meta Model API.
Mistral Medium 3.5
Muse Spark 1.1
Outputs Comparison
Key Takeaways
Mistral Medium 3.5
View detailsMistral AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Mistral Medium 3.5 and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Mistral Medium 3.5 vs Muse Spark 1.1.