Comprehensive side-by-side LLM comparison
o4-mini offers 37.9K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $2.76 cheaper per million tokens. o4-mini supports multimodal inputs. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
2 months newer

DeepSeek-R1
DeepSeek
2025-01-20

o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)

DeepSeek-R1

o4-mini
Context window and performance specifications
o4-mini
2024-05-31
Available providers and their performance metrics

DeepSeek-R1
DeepInfra
DeepSeek
Fireworks
Together
ZeroEval

DeepSeek-R1

o4-mini

DeepSeek-R1

o4-mini

o4-mini
OpenAI