Comprehensive side-by-side LLM comparison
DeepSeek-R1 leads with 6.9% higher average benchmark score. GPT-4.1 offers 896.8K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $7.26 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Overall, DeepSeek-R1 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-4.1, released by OpenAI in April 2025, is a large language model from the GPT-4 family optimized for coding, precise instruction following, and long-context tasks. It features a 1M token context window and native image understanding, with improved performance on tool-calling and web development benchmarks compared to GPT-4o. GPT-4.1 targets software development workflows, long-document analysis, and applications requiring accurate, instruction-adherent outputs.
2 months newer

DeepSeek-R1
DeepSeek
2025-01-20

GPT-4.1
OpenAI
2025-04-14
Cost per million tokens (USD)
DeepSeek-R1
GPT-4.1
Context window and performance specifications
Average performance across 2 common benchmarks
DeepSeek-R1
GPT-4.1
Performance comparison across key benchmark categories
DeepSeek-R1
GPT-4.1
Available providers and their performance metrics
DeepSeek-R1
DeepSeek
GPT-4.1
DeepSeek-R1
GPT-4.1
DeepSeek-R1
GPT-4.1
OpenAI