Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Magistral Small 2506

Mistral AI

Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Qwen2.5 14B Instruct

Alibaba

Qwen2.5 14B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). The model shows particular specialization in math tasks with an average performance of 87.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 14B Instruct

Alibaba

2024-09-19

Magistral Small 2506

Mistral AI

2025-06-10

8 months newer

Average performance across 1 common benchmarks

Magistral Small 2506

+22.7%

Average Score:68.2%

Qwen2.5 14B Instruct

Average Score:45.5%

Performance comparison across key benchmark categories

Magistral Small 2506

code

51.3%

general

67.2%

Qwen2.5 14B Instruct

code

+18.7%

70.0%

general

+0.2%

67.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Magistral Small 2506

2025-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Magistral Small 2506

0 providers

Qwen2.5 14B Instruct

0 providers

Magistral Small 2506

+22.7%

Avg Score:68.2%

Providers:0

Qwen2.5 14B Instruct

Avg Score:45.5%

Providers:0