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Magistral Medium vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 54.4 to 13.1.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 54.4 to 13.1, ranking #6 overall.

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

Choose Magistral Medium

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

Choose Muse Spark 1.3

  • overall performance matters — it scores 54.4 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 Medium
Mistral AI
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
13.1
#246
54.4
#6
Reasoning
13.3
#238
51.8
#7
Coding
3.5
#215
41.7
#11
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.20 / M
Context window
—
1,048,576

Individual benchmarks

6 reported for Magistral Medium · 11 for Muse Spark 1.3

No common benchmarks found

Magistral Medium 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 Medium
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Magistral Medium and Muse Spark 1.3 support multimodal inputs.

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

Magistral Medium

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Magistral Medium 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 Medium

Apache 2.0

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Magistral Medium 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 Medium.

Magistral Medium

Jun 10, 2025

1.3 years ago

Muse Spark 1.3

Sep 2, 2026

1 weeks ago

1.2yr newer

Knowledge Cutoff

When training data ends

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

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

Magistral Medium

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 Medium and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Magistral Medium
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Magistral Medium vs Muse Spark 1.3.

Which is better, Magistral Medium or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 54.4 to 13.1. Magistral Medium 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 Medium compare to Muse Spark 1.3 in benchmarks?

Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%. 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 Medium and Muse Spark 1.3?

Magistral Medium 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 Medium and Muse Spark 1.3?

Key differences include LLM Stats Score (13.1 vs 54.4), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Magistral Medium and Muse Spark 1.3?

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

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