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 72B Instruct
Alibaba
Qwen2 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). The model shows particular specialization in code tasks with an average performance of 82.3%. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2 72B Instruct
Alibaba
2024-07-23

Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
7 months newer
Performance Metrics
Context window and performance specifications

Mistral Small 3.1 24B Base

Qwen2 72B Instruct
Average performance across 3 common benchmarks

Mistral Small 3.1 24B Base

Qwen2 72B Instruct
Performance comparison across key benchmark categories

Mistral Small 3.1 24B Base

Qwen2 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Mistral Small 3.1 24B Base
Mistral AI

Qwen2 72B Instruct

Mistral Small 3.1 24B Base

Qwen2 72B Instruct