Comprehensive side-by-side LLM comparison
o3-mini leads with 40.2% higher average benchmark score. o3-mini offers 44.0K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $5.10 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, o3-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
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
1 month newer
o3-mini
OpenAI
2025-01-30
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
Mistral Small 3.1 24B Base
o3-mini
Context window and performance specifications
Average performance across 29 common benchmarks
Mistral Small 3.1 24B Base
o3-mini
o3-mini
2023-09-30
Available providers and their performance metrics
Mistral Small 3.1 24B Base
Mistral AI
o3-mini
Mistral Small 3.1 24B Base
o3-mini
Mistral Small 3.1 24B Base
o3-mini
Azure
OpenAI