Model Comparison

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

Mistral AI

Magistral Medium

Mistral AI

Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.

Alibaba

QwQ-32B

Alibaba

QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

QwQ-32B

Alibaba

2025-03-05

Mistral AI

Magistral Medium

Mistral AI

2025-06-10

3 months newer

Average performance across 3 common benchmarks

Mistral AI

Magistral Medium

Average Score:64.9%
Alibaba

QwQ-32B

+4.5%
Average Score:69.4%

Performance comparison across key benchmark categories

Mistral AI

Magistral Medium

code
50.3%
general
53.1%
Alibaba

QwQ-32B

code
+23.3%
73.6%
general
+17.3%
70.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

QwQ-32B

2024-11-28

Magistral Medium

2025-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Magistral Medium

0 providers
Alibaba

QwQ-32B

0 providers
Mistral AI

Magistral Medium

Avg Score:64.9%
Providers:0
Alibaba

QwQ-32B

+4.5%
Avg Score:69.4%
Providers:0