Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 41.1% higher average benchmark score. Overall, Qwen2-VL-72B-Instruct is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Context window and performance specifications
Average performance across 20 common benchmarks
Mistral Small 3.1 24B Base
Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Available providers and their performance metrics
Mistral Small 3.1 24B Base
Mistral AI
Qwen2-VL-72B-Instruct
Mistral Small 3.1 24B Base
Qwen2-VL-72B-Instruct
Mistral Small 3.1 24B Base
Qwen2-VL-72B-Instruct