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.

o4-mini
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). The model shows particular specialization in math tasks with an average performance of 88.5%. It supports a 300K 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. Released in 2025, it represents OpenAI's latest advancement in AI technology.

DeepSeek-V3.1
DeepSeek
2025-01-10

o4-mini
OpenAI
2025-04-16
3 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3.1

o4-mini
Performance Metrics
Context window and performance specifications

DeepSeek-V3.1

o4-mini
Average performance across 6 common benchmarks

DeepSeek-V3.1

o4-mini
Performance comparison across key benchmark categories

DeepSeek-V3.1

o4-mini
o4-mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.1
DeepInfra
Novita

o4-mini
OpenAI

DeepSeek-V3.1

o4-mini