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Magistral Small 2506 vs Qwen3.8-27B

Qwen3.8-27B significantly outperforms across most benchmarks.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Magistral Small 2506 outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA). Qwen3.8-27B significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Magistral Small 2506

  • you are already invested in the Mistral AI ecosystem

Choose Qwen3.8-27B

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Jun 2025
Aug 2026
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Magistral Small 2506 outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA).

Qwen3.8-27B significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

3.8B diff

Qwen3.8-27B has 3.8B more parameters than Magistral Small 2506, making it 15.8% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
24.0B
Magistral Small 2506
27.8B
Qwen3.8-27B

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas Magistral Small 2506 does not.

Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Magistral Small 2506

Text
Images
Audio
Video

Qwen3.8-27B

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

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 14 months newer than Magistral Small 2506.

Magistral Small 2506

Jun 10, 2025

1.2 years ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

1.2yr newer

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Qwen3.8-27B'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 Qwen3.8-27B's cutoff date.

Magistral Small 2506

Jun 2025

Qwen3.8-27B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Magistral Small 2506 and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Magistral Small 2506
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Magistral Small 2506 vs Qwen3.8-27B.

Which is better, Magistral Small 2506 or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. Magistral Small 2506 is made by Mistral AI and Qwen3.8-27B 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 Qwen3.8-27B in benchmarks?

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the main differences between Magistral Small 2506 and Qwen3.8-27B?

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

Who makes Magistral Small 2506 and Qwen3.8-27B?

Magistral Small 2506 is developed by Mistral AI and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.