Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 7.1% higher average benchmark score. GPT-5 nano offers 272.0K more tokens in context window than Mistral Small 3.1 24B Base. Both models have similar pricing. Overall, Mistral Small 3.1 24B Base is the stronger choice for coding tasks.
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI'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.
4 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 nano
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 9 common benchmarks
GPT-5 nano
Mistral Small 3.1 24B Base
GPT-5 nano
2024-05-30
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
GPT-5 nano
Mistral Small 3.1 24B Base
GPT-5 nano
Mistral Small 3.1 24B Base
Mistral Small 3.1 24B Base
Mistral AI