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Mistral Small 3.1 24B Instruct vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 44.9 to 3.9.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 44.9 to 3.9, ranking #43 overall.

In the 1 individual benchmarks reported for both models, Muse Spark Open wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose Mistral Small 3.1 24B Instruct

  • you are already invested in the Mistral AI ecosystem

Choose Muse Spark Open

  • overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
3.9
#326
44.9
#43
3.9
#320
45.2
#39
9.6
#190
33.0
#42
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Small 3.1 24B Instruct
Muse Spark Open
7.9#273
31.6#69
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Mistral Small 3.1 24B Instruct · 17 for Muse Spark Open

1 shared

Mistral Small 3.1 24B Instruct outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).

Muse Spark Open significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

792.0B diff

Muse Spark Open has 792.0B more parameters than Mistral Small 3.1 24B Instruct, making it 3300.0% larger.

Mistral AI
Mistral Small 3.1 24B Instruct
24.0Bparameters
Meta
Muse Spark Open
816.0Bparameters
24.0B
Mistral Small 3.1 24B Instruct
816.0B
Muse Spark Open

Context Window

Maximum input and output token capacity

Only Muse Spark Open specifies input context (1,048,576 tokens). Only Muse Spark Open specifies output context (1,048,576 tokens).

Mistral AI
Mistral Small 3.1 24B Instruct
Input- tokens
Output- tokens
Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Small 3.1 24B Instruct and Muse Spark Open support multimodal inputs.

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

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

Muse Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 3.1 24B Instruct is licensed under Apache 2.0, while Muse Spark Open uses Muse Model License.

License differences may affect how you can use these models in commercial or open-source projects.

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

Mistral Small 3.1 24B Instruct was released on 2025-03-17, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 19 months newer than Mistral Small 3.1 24B Instruct.

Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.6 years ago

Muse Spark Open

Oct 15, 2026

4 days ago

1.6yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Small 3.1 24B Instruct and Muse Spark Open side-by-side, then vote on the output you prefer.

Mistral Small 3.1 24B Instruct
✓ Preferred
Muse Spark Open
Open in Playground

FAQ

Common questions about Mistral Small 3.1 24B Instruct vs Muse Spark Open.

Which is better, Mistral Small 3.1 24B Instruct or Muse Spark Open?

Muse Spark Open leads the LLM Stats Score 44.9 to 3.9. Mistral Small 3.1 24B Instruct is made by Mistral AI and Muse Spark Open 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 3.1 24B Instruct compare to Muse Spark Open in benchmarks?

Mistral Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%. Muse Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%.

What are the context window sizes for Mistral Small 3.1 24B Instruct and Muse Spark Open?

Mistral Small 3.1 24B Instruct supports an unknown number of tokens and Muse Spark Open 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 3.1 24B Instruct and Muse Spark Open?

Key differences include LLM Stats Score (3.9 vs 44.9), licensing (Apache 2.0 vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 3.1 24B Instruct and Muse Spark Open?

Mistral Small 3.1 24B Instruct is developed by Mistral AI and Muse Spark Open is developed by Meta.