Comprehensive side-by-side LLM comparison
o4-mini leads with 2.3% higher average benchmark score. DeepSeek-V3.1 offers 27.7K more tokens in context window than o4-mini. DeepSeek-V3.1 is $4.23 cheaper per million tokens. o4-mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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%). 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.
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%). 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.
3 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)
DeepSeek-V3.1
o4-mini
Context window and performance specifications
Average performance across 22 common benchmarks
DeepSeek-V3.1
o4-mini
o4-mini
2024-05-31
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
o4-mini
DeepSeek-V3.1
o4-mini
DeepSeek-V3.1
o4-mini
OpenAI