Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 36.5% higher average benchmark score. GPT-5 mini offers 269.4K more tokens in context window than DeepSeek VL2. GPT-5 mini is $4807.25 cheaper per million tokens. Overall, DeepSeek VL2 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
GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. 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.
7 months newer
DeepSeek VL2
DeepSeek
2024-12-13
GPT-5 mini
OpenAI
2025-08-07
Cost per million tokens (USD)
DeepSeek VL2
GPT-5 mini
Context window and performance specifications
Average performance across 19 common benchmarks
DeepSeek VL2
GPT-5 mini
GPT-5 mini
2024-05-30
Available providers and their performance metrics
DeepSeek VL2
Replicate
GPT-5 mini
DeepSeek VL2
GPT-5 mini
DeepSeek VL2
GPT-5 mini
OpenAI
ZeroEval