Comprehensive side-by-side LLM comparison
o3-mini leads with 12.2% higher average benchmark score. o3-mini offers 41.4K more tokens in context window than DeepSeek VL2. o3-mini is $4804.00 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Overall, o3-mini is the stronger choice for coding tasks.
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
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
1 month newer
DeepSeek VL2
DeepSeek
2024-12-13
o3-mini
OpenAI
2025-01-30
Cost per million tokens (USD)
DeepSeek VL2
o3-mini
Context window and performance specifications
Average performance across 40 common benchmarks
DeepSeek VL2
o3-mini
o3-mini
2023-09-30
Available providers and their performance metrics
DeepSeek VL2
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DeepSeek VL2
o3-mini
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Azure
OpenAI