Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 2.4% higher average benchmark score. o4-mini offers 41.4K more tokens in context window than DeepSeek VL2. o4-mini is $4804.00 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K 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 2024, 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.
4 months newer
DeepSeek VL2
DeepSeek
2024-12-13
o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)
DeepSeek VL2
o4-mini
Context window and performance specifications
Average performance across 26 common benchmarks
DeepSeek VL2
o4-mini
o4-mini
2024-05-31
Available providers and their performance metrics
DeepSeek VL2
Replicate
o4-mini
DeepSeek VL2
o4-mini
DeepSeek VL2
o4-mini
OpenAI