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.

o1-preview
OpenAI
o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). The model shows particular specialization in math tasks with an average performance of 88.1%. It supports a 161K 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.

o1-preview
OpenAI
2024-09-12

Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
6 months newer
Pricing Comparison
Cost per million tokens (USD)

Mistral Small 3.1 24B Base

o1-preview
Performance Metrics
Context window and performance specifications

Mistral Small 3.1 24B Base

o1-preview
Average performance across 2 common benchmarks

Mistral Small 3.1 24B Base

o1-preview
Performance comparison across key benchmark categories

Mistral Small 3.1 24B Base

o1-preview
Provider Availability & Performance
Available providers and their performance metrics

Mistral Small 3.1 24B Base
Mistral AI

o1-preview
Azure
OpenAI

Mistral Small 3.1 24B Base

o1-preview