Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-5 offers 296.8K more tokens in context window than DeepSeek-V3.2. DeepSeek-V3.2 is $148.63 cheaper per million tokens. GPT-5 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.2, released by DeepSeek on December 1, 2025, is a large language model with 685 billion total parameters featuring integrated thinking in tool-use and support for both reasoning and direct generation modes. It features a 128K token context window and introduced large-scale agent training across 1,800+ environments. DeepSeek-V3.2 targets agentic workflows, complex instruction following, and coding tasks 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.
3 months newer

GPT-5
OpenAI
2025-08-07

DeepSeek-V3.2
DeepSeek
2025-12-01
Cost per million tokens (USD)
DeepSeek-V3.2
GPT-5
Context window and performance specifications
Average performance across 1 common benchmarks
DeepSeek-V3.2
GPT-5
Performance comparison across key benchmark categories
DeepSeek-V3.2
GPT-5
GPT-5
2025-05
Available providers and their performance metrics
DeepSeek-V3.2
DeepSeek
GPT-5
DeepSeek-V3.2
GPT-5
DeepSeek-V3.2
GPT-5
OpenAI