Model Comparison

Magistral Small 2506 vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Magistral Small 2506 outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (AIME 2025, GPQA).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

211.0B diff

Qwen3-235B-A22B-Instruct-2507 has 211.0B more parameters than Magistral Small 2506, making it 879.2% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
24.0B
Magistral Small 2506
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Fri May 15 2026 • llm-stats.com

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

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 1 month newer than Magistral Small 2506.

Magistral Small 2506

Jun 10, 2025

11 months ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

9 months ago

1mo newer

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Qwen3-235B-A22B-Instruct-2507'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 Qwen3-235B-A22B-Instruct-2507's cutoff date.

Magistral Small 2506

Jun 2025

Qwen3-235B-A22B-Instruct-2507

Outputs Comparison

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Key Takeaways

No standout differentiators in the data we have for this pair.

Larger context window (262,144 tokens)
Higher AIME 2025 score (70.3% vs 62.8%)
Higher GPQA score (77.5% vs 68.2%)

Detailed Comparison

FAQ

Common questions about Magistral Small 2506 vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Magistral Small 2506 or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Magistral Small 2506 is made by Mistral AI and Qwen3-235B-A22B-Instruct-2507 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 Qwen3-235B-A22B-Instruct-2507 in benchmarks?

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

What are the context window sizes for Magistral Small 2506 and Qwen3-235B-A22B-Instruct-2507?

Magistral Small 2506 supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Magistral Small 2506 and Qwen3-235B-A22B-Instruct-2507?

Magistral Small 2506 is developed by Mistral AI and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.