Mistral Small 3 24B Instruct vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 55.3 to 4.4. Mistral Small 3 24B Instruct is 1.4x cheaper per token.
Mistral AI · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 4.4, ranking #5 overall.
On price, Mistral Small 3 24B Instruct is roughly 1.4x 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 Small 3 24B Instruct
- cost matters — it's about 1.4x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.3
- overall performance matters — it scores 55.3 and ranks #5 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- 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
8 reported for Mistral Small 3 24B Instruct · 11 for Muse Spark 1.3
Mistral Small 3 24B Instruct 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 Small 3 24B Instruct ($0.07/1M tokens) is 1.4x cheaper than Muse Spark 1.3 ($0.10/1M tokens).
For output processing, Mistral Small 3 24B Instruct ($0.14/1M tokens) is 1.4x cheaper than Muse Spark 1.3 ($0.20/1M tokens).
In conclusion, Muse Spark 1.3 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 1.3 accepts 1,048,576 input tokens compared to Mistral Small 3 24B Instruct's 32,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Mistral Small 3 24B Instruct is limited to 32,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas Mistral Small 3 24B Instruct does not.
Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Small 3 24B Instruct
Muse Spark 1.3
License
Usage and distribution terms
Mistral Small 3 24B Instruct is licensed under Apache 2.0, 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.
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 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 19 months newer than Mistral Small 3 24B Instruct.
Jan 30, 2025
1.6 years ago
Sep 2, 2026
2 days ago
1.6yr newerKnowledge Cutoff
When training data ends
Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Muse Spark 1.3'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 1.3's cutoff date.
Oct 2023
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Provider Availability
Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI. Muse Spark 1.3 is available from Meta Model API.
Mistral Small 3 24B Instruct
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Small 3 24B Instruct and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Small 3 24B Instruct vs Muse Spark 1.3.