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

DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Mistral Small 3.1 24B Instruct
Mistral AI
Mistral Small 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). The model shows particular specialization in code tasks with an average performance of 81.6%. 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.

DeepSeek-R1
DeepSeek
2025-01-20

Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
1 month newer
Performance Metrics
Context window and performance specifications

DeepSeek-R1

Mistral Small 3.1 24B Instruct
Average performance across 4 common benchmarks

DeepSeek-R1

Mistral Small 3.1 24B Instruct
Performance comparison across key benchmark categories

DeepSeek-R1

Mistral Small 3.1 24B Instruct
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek

Mistral Small 3.1 24B Instruct

DeepSeek-R1

Mistral Small 3.1 24B Instruct