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

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.

Qwen2.5-Omni-7B
Alibaba
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. 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 Alibaba's latest advancement in AI technology.

Qwen2.5-Omni-7B
Alibaba
2025-03-27

Magistral Medium
Mistral AI
2025-06-10
2 months newer
Average performance across 1 common benchmarks

Magistral Medium

Qwen2.5-Omni-7B
Performance comparison across key benchmark categories

Magistral Medium

Qwen2.5-Omni-7B
Magistral Medium
2025-06-01
Provider Availability & Performance
Available providers and their performance metrics

Magistral Medium

Qwen2.5-Omni-7B

Magistral Medium

Qwen2.5-Omni-7B