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Mistral Small 3.2 24B Instruct vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 8.6.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 8.6, ranking #5 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mistral Small 3.2 24B Instruct

  • 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 — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Mistral Small 3.2 24B Instruct
Mistral AI
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
8.6
#265
55.3
#5
Reasoning
8.0
#267
52.8
#7
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.20 / M
Context window
—
1,048,576

Individual benchmarks

15 reported for Mistral Small 3.2 24B Instruct · 11 for Muse Spark 1.3

No common benchmarks found

Mistral Small 3.2 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

Context Window

Maximum input and output token capacity

Only Muse Spark 1.3 specifies input context (1,048,576 tokens). Only Muse Spark 1.3 specifies output context (943,718 tokens).

Mistral AI
Mistral Small 3.2 24B Instruct
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Small 3.2 24B Instruct and Muse Spark 1.3 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 3.2 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.

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Small 3.2 24B Instruct was released on 2025-06-20, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 15 months newer than Mistral Small 3.2 24B Instruct.

Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.2 years ago

Muse Spark 1.3

Sep 2, 2026

2 days ago

1.2yr newer

Knowledge Cutoff

When training data ends

Mistral Small 3.2 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 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Muse Spark 1.3's cutoff date.

Mistral Small 3.2 24B Instruct

Oct 2023

Muse Spark 1.3

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Mistral Small 3.2 24B Instruct and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Mistral Small 3.2 24B Instruct
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Mistral Small 3.2 24B Instruct vs Muse Spark 1.3.

Which is better, Mistral Small 3.2 24B Instruct or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 8.6. Mistral Small 3.2 24B Instruct is made by Mistral AI and Muse Spark 1.3 is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Small 3.2 24B Instruct compare to Muse Spark 1.3 in benchmarks?

Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%. Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

What are the context window sizes for Mistral Small 3.2 24B Instruct and Muse Spark 1.3?

Mistral Small 3.2 24B Instruct supports an unknown number of tokens and Muse Spark 1.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Small 3.2 24B Instruct and Muse Spark 1.3?

Key differences include LLM Stats Score (8.6 vs 55.3), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 3.2 24B Instruct and Muse Spark 1.3?

Mistral Small 3.2 24B Instruct is developed by Mistral AI and Muse Spark 1.3 is developed by Meta.

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