Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Mistral Small 3.1 24B Base
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.

o4-mini
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). 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 Small 3.1 24B Base
Mistral AI
2025-03-17

o4-mini
OpenAI
2025-04-16
1 month newer
Performance Metrics
Context window and performance specifications

Mistral Small 3.1 24B Base

o4-mini
Average performance across 2 common benchmarks

Mistral Small 3.1 24B Base

o4-mini
Performance comparison across key benchmark categories

Mistral Small 3.1 24B Base

o4-mini
o4-mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

Mistral Small 3.1 24B Base
Mistral AI

o4-mini

Mistral Small 3.1 24B Base

o4-mini