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.

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Magistral Small 2506

Mistral AI

2025-06-10

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

1 month newer

Average performance across 1 common benchmarks

Magistral Small 2506

Average Score:68.2%

Qwen3-235B-A22B-Instruct-2507

+9.3%

Average Score:77.5%

Performance comparison across key benchmark categories

Magistral Small 2506

general

67.2%

code

51.3%

Qwen3-235B-A22B-Instruct-2507

general

+6.5%

73.7%

code

+18.9%

70.3%

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

Qwen3-235B-A22B-Instruct-2507

0 providers

Magistral Small 2506

Avg Score:68.2%

Providers:0

Qwen3-235B-A22B-Instruct-2507

+9.3%

Avg Score:77.5%

Providers:0