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.

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

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

DeepSeek-V3.2-Exp

o1-preview
Performance Metrics
Context window and performance specifications

DeepSeek-V3.2-Exp

o1-preview
Average performance across 18 common benchmarks

DeepSeek-V3.2-Exp

o1-preview
Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

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

DeepSeek-V3.2-Exp
Novita
ZeroEval

o1-preview
Azure
OpenAI

DeepSeek-V3.2-Exp

o1-preview