Model Comparison

Magistral Small 2506 vs Qwen3 MaxWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: Magistral Small 2506 vs Qwen3 Max — which is better?

Magistral Small 2506 (by Mistral AI) and Qwen3 Max (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 Qwen3 Max is better at 1 benchmark (AIME 2025). Both models are evenly matched across the benchmarks.

Choose Magistral Small 2506 if…

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

Choose Qwen3 Max if…

  • you want the most recent training data — it shipped Dec 2025

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Magistral Small 2506 outperforms in 1 benchmarks (GPQA), while Qwen3 Max is better at 1 benchmark (AIME 2025).

Both models are evenly matched across the benchmarks.

Mon Jul 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

976.0B diff

Qwen3 Max has 976.0B more parameters than Magistral Small 2506, making it 4066.7% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 Max
1.0Tparameters
24.0B
Magistral Small 2506
1000.0B
Qwen3 Max

Context Window

Maximum input and output token capacity

Only Qwen3 Max specifies input context (256,000 tokens). Only Qwen3 Max specifies output context (131,072 tokens).

Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Mon Jul 13 2026 • llm-stats.com

License

Usage and distribution terms

Magistral Small 2506 is licensed under Apache 2.0, while Qwen3 Max 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

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Qwen3 Max was released on 2025-12-15.

Qwen3 Max is 6 months newer than Magistral Small 2506.

Magistral Small 2506

Jun 10, 2025

1.1 years ago

Qwen3 Max

Dec 15, 2025

7 months ago

6mo newer

Knowledge Cutoff

When training data ends

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

Magistral Small 2506

Jun 2025

Qwen3 Max

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Has open weights
Higher GPQA score (68.2% vs 62.0%)
Alibaba Cloud / Qwen Team

Qwen3 Max

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)
Higher AIME 2025 score (81.6% vs 62.8%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

Magistral Small 2506
✓ Preferred
Qwen3 Max
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Magistral Small 2506
Alibaba Cloud / Qwen Team
Qwen3 Max

FAQ

Common questions about Magistral Small 2506 vs Qwen3 Max.

Which is better, Magistral Small 2506 or Qwen3 Max?

Both models are evenly matched across the benchmarks. Magistral Small 2506 is made by Mistral AI and Qwen3 Max 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 Max in benchmarks?

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

What are the context window sizes for Magistral Small 2506 and Qwen3 Max?

Magistral Small 2506 supports an unknown number of tokens and Qwen3 Max supports 256K 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 Qwen3 Max?

Key differences include licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Magistral Small 2506 and Qwen3 Max?

Magistral Small 2506 is developed by Mistral AI and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.