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Magistral Small 2506 vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 54.3 to 10.7.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 54.3 to 10.7, ranking #6 overall.

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

Choose Magistral Small 2506

  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.3

  • overall performance matters — it scores 54.3 and ranks #6 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Magistral Small 2506
Mistral AI
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
10.7
#261
54.3
#6
Reasoning
10.9
#259
51.8
#8
Coding
5.2
#201
41.8
#10
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
—
1,048,576

Individual benchmarks

4 reported for Magistral Small 2506 · 11 for Muse Spark 1.3

No common benchmarks found

Magistral Small 2506 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
Magistral Small 2506
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas Magistral Small 2506 does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Magistral Small 2506

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Magistral Small 2506 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.

Magistral Small 2506

Apache 2.0

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 15 months newer than Magistral Small 2506.

Magistral Small 2506

Jun 10, 2025

1.3 years ago

Muse Spark 1.3

Sep 2, 2026

2 weeks ago

1.2yr newer

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Muse Spark 1.3's cutoff date is not specified.

We can confirm Magistral Small 2506's training data extends to 2025-06-01, but cannot make a direct comparison without Muse Spark 1.3's cutoff date.

Magistral Small 2506

Jun 2025

Muse Spark 1.3

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Magistral Small 2506 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Magistral Small 2506
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Magistral Small 2506 vs Muse Spark 1.3.

Which is better, Magistral Small 2506 or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 54.3 to 10.7. Magistral Small 2506 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 Magistral Small 2506 compare to Muse Spark 1.3 in benchmarks?

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. 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 Magistral Small 2506 and Muse Spark 1.3?

Magistral Small 2506 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 Magistral Small 2506 and Muse Spark 1.3?

Key differences include LLM Stats Score (10.7 vs 54.3), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Magistral Small 2506 and Muse Spark 1.3?

Magistral Small 2506 is developed by Mistral AI and Muse Spark 1.3 is developed by Meta.

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