Model Comparison

Magistral Small 2506 vs Muse Spark 1.1Which is better in 2026?

Comparing Magistral Small 2506 and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: Magistral Small 2506 vs Muse Spark 1.1 — which is better?

Magistral Small 2506 (by Mistral AI) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Magistral Small 2506 if…

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

Choose Muse Spark 1.1 if…

  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Magistral Small 2506 and Muse Spark 1.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Muse Spark 1.1 specifies input context (1,048,576 tokens). Only Muse Spark 1.1 specifies output context (131,072 tokens).

Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Muse Spark 1.1 supports multimodal inputs, whereas Magistral Small 2506 does not.

Muse Spark 1.1 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 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

Magistral Small 2506 is licensed under Apache 2.0, while Muse Spark 1.1 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 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 13 months newer than Magistral Small 2506.

Magistral Small 2506

Jun 10, 2025

1.1 years ago

Muse Spark 1.1

Jul 9, 2026

2 weeks ago

1.1yr newer

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Muse Spark 1.1'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 1.1's cutoff date.

Magistral Small 2506

Jun 2025

Muse Spark 1.1

—

Outputs Comparison

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Key Takeaways

Mistral AI
Has open weights
Meta
Larger context window (1,048,576 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Magistral Small 2506 and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

Magistral Small 2506
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Magistral Small 2506
Meta
Muse Spark 1.1

FAQ

Common questions about Magistral Small 2506 vs Muse Spark 1.1.

Which is better, Magistral Small 2506 or Muse Spark 1.1?

Magistral Small 2506 (Mistral AI) and Muse Spark 1.1 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Magistral Small 2506 compare to Muse Spark 1.1 in benchmarks?

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

What are the context window sizes for Magistral Small 2506 and Muse Spark 1.1?

Magistral Small 2506 supports an unknown number of tokens and Muse Spark 1.1 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 1.1?

Key differences include 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 1.1?

Magistral Small 2506 is developed by Mistral AI and Muse Spark 1.1 is developed by Meta.

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