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

DeepSeek-V3.2-Exp
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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.

Mistral Small 3.1 24B Base
Mistral AI
2025-03-17

DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
6 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3.2-Exp

Mistral Small 3.1 24B Base
Performance Metrics
Context window and performance specifications

DeepSeek-V3.2-Exp

Mistral Small 3.1 24B Base
Average performance across 17 common benchmarks

DeepSeek-V3.2-Exp

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

DeepSeek-V3.2-Exp

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

DeepSeek-V3.2-Exp
Novita
ZeroEval

Mistral Small 3.1 24B Base
Mistral AI

DeepSeek-V3.2-Exp

Mistral Small 3.1 24B Base