Comprehensive side-by-side LLM comparison
GPT-5 leads with 18.8% higher average benchmark score. GPT-5 offers 296.8K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $148.63 cheaper per million tokens. GPT-5 supports multimodal inputs. Overall, GPT-5 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1, released by DeepSeek in August 2025, is a hybrid large language model with 671 billion total parameters (37 billion active) that unifies the capabilities of DeepSeek-V3 and DeepSeek-R1 in a single model. It features a 128K token context window and supports both direct generation and extended reasoning modes selectable via the chat template. DeepSeek-V3.1 targets general-purpose tasks, coding, and complex 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.
14 days newer

GPT-5
OpenAI
2025-08-07

DeepSeek-V3.1
DeepSeek
2025-08-21
Cost per million tokens (USD)
DeepSeek-V3.1
GPT-5
Context window and performance specifications
Average performance across 1 common benchmarks
DeepSeek-V3.1
GPT-5
Performance comparison across key benchmark categories
DeepSeek-V3.1
GPT-5
GPT-5
2025-05
Available providers and their performance metrics
DeepSeek-V3.1
DeepSeek
GPT-5
DeepSeek-V3.1
GPT-5
DeepSeek-V3.1
GPT-5
OpenAI