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

DeepSeek-V3.1
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K 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-V3.1
DeepSeek
2025-01-10
4 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3.1

o1-preview
Performance Metrics
Context window and performance specifications

DeepSeek-V3.1

o1-preview
Average performance across 3 common benchmarks

DeepSeek-V3.1

o1-preview
Performance comparison across key benchmark categories

DeepSeek-V3.1

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

DeepSeek-V3.1
DeepInfra
Novita

o1-preview
Azure
OpenAI

DeepSeek-V3.1

o1-preview