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Magistral Small 2506 vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next 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-Flash-Next is better at 1 benchmark (GPQA). Qwen3.8-Flash-Next 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-Flash-Next

  • 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
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Thu Aug 27 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

101.0B diff

Qwen3.8-Flash-Next has 101.0B more parameters than Magistral Small 2506, making it 420.8% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
24.0B
Magistral Small 2506
125.0B
Qwen3.8-Flash-Next

Input Capabilities

Supported data types and modalities

Qwen3.8-Flash-Next supports multimodal inputs, whereas Magistral Small 2506 does not.

Qwen3.8-Flash-Next 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-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Magistral Small 2506 is licensed under Apache 2.0, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

License differences may affect how you can use these models in commercial or open-source projects.

Magistral Small 2506

Apache 2.0

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 15 months newer than Magistral Small 2506.

Magistral Small 2506

Jun 10, 2025

1.2 years ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days 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-Flash-Next'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-Flash-Next's cutoff date.

Magistral Small 2506

Jun 2025

Qwen3.8-Flash-Next

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-Flash-Next side-by-side, then vote on the output you prefer.

Magistral Small 2506
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Magistral Small 2506 vs Qwen3.8-Flash-Next.

Which is better, Magistral Small 2506 or Qwen3.8-Flash-Next?

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

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the main differences between Magistral Small 2506 and Qwen3.8-Flash-Next?

Key differences include multimodal support (no vs yes), licensing (Apache 2.0 vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Magistral Small 2506 and Qwen3.8-Flash-Next?

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