Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 offers 852.0K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $8.51 cheaper per million tokens. Gemini 2.5 Pro Preview 06-05 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.
Gemini 2.5 Pro Preview was released as an early access version of Gemini 2.5 Pro, designed to allow developers and enterprises to experiment with next-generation capabilities before general availability. Built to gather feedback and demonstrate upcoming features, it provided a window into the evolution of Google's flagship model.
4 months newer

DeepSeek-R1
DeepSeek
2025-01-20

Gemini 2.5 Pro Preview 06-05
2025-06-05
Cost per million tokens (USD)

DeepSeek-R1

Gemini 2.5 Pro Preview 06-05
Context window and performance specifications
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics

DeepSeek-R1
DeepInfra
DeepSeek
Fireworks
Together
ZeroEval

DeepSeek-R1

Gemini 2.5 Pro Preview 06-05

DeepSeek-R1

Gemini 2.5 Pro Preview 06-05

Gemini 2.5 Pro Preview 06-05