Model Comparison

Magistral Small 2506 vs Qwen2.5-Coder 32B Instruct

Magistral Small 2506 significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Magistral Small 2506 outperforms in 1 benchmarks (LiveCodeBench), while Qwen2.5-Coder 32B Instruct is better at 0 benchmarks.

Magistral Small 2506 significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

8.0B diff

Qwen2.5-Coder 32B Instruct has 8.0B more parameters than Magistral Small 2506, making it 33.3% larger.

Magistral Small 2506

24.0Bparameters

Qwen2.5-Coder 32B Instruct

32.0Bparameters

24.0B

Magistral Small 2506

32.0B

Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).

Magistral Small 2506

Input- tokens

Output- tokens

Qwen2.5-Coder 32B Instruct

Input128,000 tokens

Output128,000 tokens

Tue May 26 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

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Magistral Small 2506 is 9 months newer than Qwen2.5-Coder 32B Instruct.

Magistral Small 2506

Jun 10, 2025

11 months ago

8mo newer

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Qwen2.5-Coder 32B Instruct'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-Coder 32B Instruct's cutoff date.

Magistral Small 2506

Jun 2025

Qwen2.5-Coder 32B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Magistral Small 2506

View details

Mistral AI

Higher LiveCodeBench score (51.3% vs 31.4%)

Qwen2.5-Coder 32B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature	Magistral Small 2506	Qwen2.5-Coder 32B Instruct

FAQ

Common questions about Magistral Small 2506 vs Qwen2.5-Coder 32B Instruct.

Which is better, Magistral Small 2506 or Qwen2.5-Coder 32B Instruct?

Magistral Small 2506 significantly outperforms across most benchmarks. Magistral Small 2506 is made by Mistral AI and Qwen2.5-Coder 32B Instruct 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-Coder 32B Instruct in benchmarks?

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

What are the context window sizes for Magistral Small 2506 and Qwen2.5-Coder 32B Instruct?

Magistral Small 2506 supports an unknown number of tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Magistral Small 2506 and Qwen2.5-Coder 32B Instruct?

Magistral Small 2506 is developed by Mistral AI and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.