Comprehensive side-by-side LLM comparison
o1 leads with 3.2% higher average benchmark score. o1 offers 164.0K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $72.26 cheaper per million tokens. o1 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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
OpenAI o1, released by OpenAI in December 2024, is a reasoning-focused large language model that applies extended chain-of-thought processing before generating responses. It features a 200K token context window and native image understanding, demonstrating strong performance on STEM benchmarks requiring multi-step reasoning. o1 targets mathematics, science, and coding tasks where careful deliberation over the problem produces more accurate outputs than direct generation.
1 month newer

o1
OpenAI
2024-12-05

DeepSeek-R1
DeepSeek
2025-01-20
Cost per million tokens (USD)
DeepSeek-R1
o1
Context window and performance specifications
Average performance across 1 common benchmarks
DeepSeek-R1
o1
Performance comparison across key benchmark categories
DeepSeek-R1
o1
o1
2023-10
Available providers and their performance metrics
DeepSeek-R1
DeepSeek
o1
DeepSeek-R1
o1
DeepSeek-R1
o1
OpenAI