Comprehensive side-by-side LLM comparison
o1 leads with 5.0% higher average benchmark score. o1 offers 164.0K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $73.63 cheaper per million tokens. o1 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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
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.
8 months newer

o1
OpenAI
2024-12-05

DeepSeek-V3.1
DeepSeek
2025-08-21
Cost per million tokens (USD)
DeepSeek-V3.1
o1
Context window and performance specifications
Average performance across 1 common benchmarks
DeepSeek-V3.1
o1
Performance comparison across key benchmark categories
DeepSeek-V3.1
o1
o1
2023-10
Available providers and their performance metrics
DeepSeek-V3.1
DeepSeek
o1
DeepSeek-V3.1
o1
DeepSeek-V3.1
o1
OpenAI