Model Comparison

Magistral Small 2506 vs Qwen2.5-Omni-7BWhich is better in 2026?

Magistral Small 2506 significantly outperforms across most benchmarks.

Verdict: Magistral Small 2506 vs Qwen2.5-Omni-7B — which is better?

Magistral Small 2506 (by Mistral AI) and Qwen2.5-Omni-7B (by Alibaba Cloud / Qwen Team) 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.

Magistral Small 2506 outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 0 benchmarks. Magistral Small 2506 significantly outperforms across most benchmarks.

Choose Magistral Small 2506 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jun 2025

Choose Qwen2.5-Omni-7B if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Magistral Small 2506 outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 0 benchmarks.

Magistral Small 2506 significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

17.0B diff

Magistral Small 2506 has 17.0B more parameters than Qwen2.5-Omni-7B, making it 242.9% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
24.0B
Magistral Small 2506
7.0B
Qwen2.5-Omni-7B

Input Capabilities

Supported data types and modalities

Qwen2.5-Omni-7B supports multimodal inputs, whereas Magistral Small 2506 does not.

Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Magistral Small 2506

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Magistral Small 2506

Apache 2.0

Open weights

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Qwen2.5-Omni-7B was released on 2025-03-27.

Magistral Small 2506 is 3 months newer than Qwen2.5-Omni-7B.

Magistral Small 2506

Jun 10, 2025

12 months ago

2mo newer
Qwen2.5-Omni-7B

Mar 27, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Qwen2.5-Omni-7B'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 Qwen2.5-Omni-7B's cutoff date.

Magistral Small 2506

Jun 2025

Qwen2.5-Omni-7B

Outputs Comparison

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Key Takeaways

Higher GPQA score (68.2% vs 30.8%)
Alibaba Cloud / Qwen Team

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Magistral Small 2506
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B

FAQ

Common questions about Magistral Small 2506 vs Qwen2.5-Omni-7B.

Which is better, Magistral Small 2506 or Qwen2.5-Omni-7B?

Magistral Small 2506 significantly outperforms across most benchmarks. Magistral Small 2506 is made by Mistral AI and Qwen2.5-Omni-7B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Magistral Small 2506 compare to Qwen2.5-Omni-7B in benchmarks?

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Qwen2.5-Omni-7B scores DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%, ChartQA: 85.3%.

What are the main differences between Magistral Small 2506 and Qwen2.5-Omni-7B?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Magistral Small 2506 and Qwen2.5-Omni-7B?

Magistral Small 2506 is developed by Mistral AI and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.