Model Comparison

Magistral Small 2506 vs Qwen2.5 72B Instruct

Both models are evenly matched across the benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Magistral Small 2506 outperforms in 1 benchmarks (GPQA), while Qwen2.5 72B Instruct is better at 1 benchmark (LiveCodeBench).

Both models are evenly matched across the benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Mistral AI
Magistral Small 2506
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
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Model Size

Parameter count comparison

48.7B diff

Qwen2.5 72B Instruct has 48.7B more parameters than Magistral Small 2506, making it 202.9% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
24.0B
Magistral Small 2506
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

Magistral Small 2506 is licensed under Apache 2.0, while Qwen2.5 72B Instruct uses Qwen.

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

Magistral Small 2506

Apache 2.0

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Qwen2.5 72B Instruct was released on 2024-09-19.

Magistral Small 2506 is 9 months newer than Qwen2.5 72B Instruct.

Magistral Small 2506

Jun 10, 2025

10 months ago

8mo newer
Qwen2.5 72B Instruct

Sep 19, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Qwen2.5 72B 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 72B Instruct's cutoff date.

Magistral Small 2506

Jun 2025

Qwen2.5 72B Instruct

Outputs Comparison

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Key Takeaways

Higher GPQA score (68.2% vs 49.0%)
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher LiveCodeBench score (55.5% vs 51.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Magistral Small 2506
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct

FAQ

Common questions about Magistral Small 2506 vs Qwen2.5 72B Instruct

Both models are evenly matched across the benchmarks. Magistral Small 2506 is made by Mistral AI and Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.
Magistral Small 2506 supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Apache 2.0 vs Qwen). See the full comparison above for benchmark-by-benchmark results.
Magistral Small 2506 is developed by Mistral AI and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.