Model Comparison
Mistral Small 3 24B Instruct vs Muse Spark 1.1Which is better in 2026?
Comparing Mistral Small 3 24B Instruct and Muse Spark 1.1 across benchmarks, pricing, and capabilities.
Verdict: Mistral Small 3 24B Instruct vs Muse Spark 1.1 — which is better?
Mistral Small 3 24B Instruct (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.
On price, Mistral Small 3 24B Instruct is roughly 22.9x 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 Small 3 24B Instruct if…
- cost matters — it's about 22.9x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.1 if…
- 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 Small 3 24B Instruct and Muse Spark 1.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Small 3 24B Instruct ($0.07/1M tokens) is 17.9x cheaper than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, Mistral Small 3 24B Instruct ($0.14/1M tokens) is 30.4x cheaper than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, Muse Spark 1.1 is more expensive than Mistral Small 3 24B Instruct.*
* 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 Small 3 24B Instruct's 32,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Mistral Small 3 24B Instruct is limited to 32,000 tokens.
Input Capabilities
Supported data types and modalities
Muse Spark 1.1 supports multimodal inputs, whereas Mistral Small 3 24B Instruct does not.
Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Small 3 24B Instruct
Muse Spark 1.1
License
Usage and distribution terms
Mistral Small 3 24B Instruct is licensed under Apache 2.0, 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.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Small 3 24B Instruct was released on 2025-01-30, while Muse Spark 1.1 was released on 2026-07-09.
Muse Spark 1.1 is 18 months newer than Mistral Small 3 24B Instruct.
Jan 30, 2025
1.5 years ago
Jul 9, 2026
2 weeks ago
1.4yr newerKnowledge Cutoff
When training data ends
Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Muse Spark 1.1's cutoff date is not specified.
We can confirm Mistral Small 3 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Muse Spark 1.1's cutoff date.
Oct 2023
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Provider Availability
Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI. Muse Spark 1.1 is available from Meta Model API.
Mistral Small 3 24B Instruct
Muse Spark 1.1
Outputs Comparison
Key Takeaways
Mistral Small 3 24B Instruct
View detailsMistral AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Mistral Small 3 24B Instruct and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Mistral Small 3 24B Instruct vs Muse Spark 1.1.