Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 1.6% higher average benchmark score. GPT-5 mini offers 272.0K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $1.85 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). 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 mini
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 mini
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 9 common benchmarks
GPT-5 mini
Mistral Small 3.1 24B Base
GPT-5 mini
2024-05-30
Available providers and their performance metrics
GPT-5 mini
OpenAI
ZeroEval
GPT-5 mini
Mistral Small 3.1 24B Base
GPT-5 mini
Mistral Small 3.1 24B Base
Mistral Small 3.1 24B Base
Mistral AI