Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Mistral Small 3.1 24B Base
Mistral AI
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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-Coder 7B Instruct
Alibaba
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). 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-Coder 7B Instruct
Alibaba
2024-09-19
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
5 months newer
Performance Metrics
Context window and performance specifications
Mistral Small 3.1 24B Base
Qwen2.5-Coder 7B Instruct
Average performance across 2 common benchmarks
Mistral Small 3.1 24B Base
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
Mistral Small 3.1 24B Base
Qwen2.5-Coder 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics
Mistral Small 3.1 24B Base
Mistral AI
Qwen2.5-Coder 7B Instruct
Mistral Small 3.1 24B Base
Qwen2.5-Coder 7B Instruct