Comprehensive side-by-side LLM comparison
o1-mini leads with 13.0% higher average benchmark score. Mistral Small 3.1 24B Base offers 62.5K more tokens in context window than o1-mini. Mistral Small 3.1 24B Base is $14.60 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, o1-mini 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.
OpenAI
o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
6 months newer
o1-mini
OpenAI
2024-09-12
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
Mistral Small 3.1 24B Base
o1-mini
Context window and performance specifications
Average performance across 9 common benchmarks
Mistral Small 3.1 24B Base
o1-mini
Available providers and their performance metrics
Mistral Small 3.1 24B Base
Mistral AI
o1-mini
Mistral Small 3.1 24B Base
o1-mini
Mistral Small 3.1 24B Base
o1-mini
Azure
OpenAI