Comprehensive side-by-side LLM comparison
Grok-2 leads with 33.1% higher average benchmark score. Mistral Small 3.1 24B Base offers 120.0K more tokens in context window than Grok-2. Mistral Small 3.1 24B Base is $11.60 cheaper per million tokens. Overall, Grok-2 is the stronger choice for coding tasks.
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K 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. Released in 2024, it represents xAI's latest advancement in AI technology.
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.
7 months newer
Grok-2
xAI
2024-08-13
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
Grok-2
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 9 common benchmarks
Grok-2
Mistral Small 3.1 24B Base
Available providers and their performance metrics
Grok-2
xAI
Mistral Small 3.1 24B Base
Grok-2
Mistral Small 3.1 24B Base
Grok-2
Mistral Small 3.1 24B Base
Mistral AI