Comprehensive side-by-side LLM comparison
GPT-5 leads with 1.8% higher average benchmark score. GPT-5 offers 296.8K more tokens in context window than DeepSeek-V3.2 Thinking. DeepSeek-V3.2 Thinking is $147.26 cheaper per million tokens. GPT-5 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.2-Exp (DeepSeek-V3.2 Thinking), released by DeepSeek in September 2025, is the experimental preview release of the DeepSeek-V3.2 model featuring 685 billion total parameters and integrated thinking capabilities. It introduced the architecture and training approaches that became the foundation of the final V3.2 release, including thinking in tool-use and hybrid reasoning modes.
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.
1 month newer

GPT-5
OpenAI
2025-08-07

DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2 Thinking
GPT-5
Context window and performance specifications
Average performance across 1 common benchmarks
DeepSeek-V3.2 Thinking
GPT-5
Performance comparison across key benchmark categories
DeepSeek-V3.2 Thinking
GPT-5
GPT-5
2025-05
Available providers and their performance metrics
DeepSeek-V3.2 Thinking
DeepSeek
GPT-5
DeepSeek-V3.2 Thinking
GPT-5
DeepSeek-V3.2 Thinking
GPT-5
OpenAI