Comprehensive side-by-side LLM comparison
GPT-5 leads with 21.0% higher average benchmark score. GPT-5 offers 296.8K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $147.26 cheaper per million tokens. GPT-5 supports multimodal inputs. Overall, GPT-5 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1, released by DeepSeek on January 20, 2025, is a large reasoning model with 671 billion total parameters (37 billion active in its MoE architecture) designed for extended chain-of-thought reasoning. It features a 128K token context window and demonstrated strong performance on mathematics, coding, and scientific reasoning benchmarks at its release. DeepSeek-R1 targets complex analytical tasks, competitive programming, and applications requiring deep deliberative reasoning under an open MIT license.
OpenAI
GPT-5, released by OpenAI on August 7, 2025, is a large language model that combines direct generation and extended reasoning in a single unified system with a built-in routing mechanism. It features a 400K token context window, 128K maximum output tokens, native multimodal support (text, image, audio, video), and demonstrated strong results across coding, mathematics, visual understanding, and health benchmarks at release. GPT-5 targets complex multi-step tasks including advanced coding, mathematical problem solving, and long-context analysis.
6 months newer

DeepSeek-R1
DeepSeek
2025-01-20

GPT-5
OpenAI
2025-08-07
Cost per million tokens (USD)
DeepSeek-R1
GPT-5
Context window and performance specifications
Average performance across 2 common benchmarks
DeepSeek-R1
GPT-5
Performance comparison across key benchmark categories
DeepSeek-R1
GPT-5
GPT-5
2025-05
Available providers and their performance metrics
DeepSeek-R1
DeepSeek
GPT-5
DeepSeek-R1
GPT-5
DeepSeek-R1
GPT-5
OpenAI