Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 38.3% higher average benchmark score. GPT-5 mini offers 511.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $1.83 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. 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.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
GPT-5 mini
OpenAI
2025-08-07
Cost per million tokens (USD)
DeepSeek-V2.5
GPT-5 mini
Context window and performance specifications
Average performance across 20 common benchmarks
DeepSeek-V2.5
GPT-5 mini
GPT-5 mini
2024-05-30
Available providers and their performance metrics
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic
DeepSeek-V2.5
GPT-5 mini
DeepSeek-V2.5
GPT-5 mini
GPT-5 mini
OpenAI
ZeroEval