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

Mistral Small 3.1 24B Instruct
Mistral AI
Mistral Small 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). The model shows particular specialization in code tasks with an average performance of 81.6%. 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.

Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17

Qwen2.5-Omni-7B
Alibaba
2025-03-27
10 days newer
Average performance across 6 common benchmarks

Mistral Small 3.1 24B Instruct

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

Mistral Small 3.1 24B Instruct

Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics

Mistral Small 3.1 24B Instruct

Qwen2.5-Omni-7B

Mistral Small 3.1 24B Instruct

Qwen2.5-Omni-7B