Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 42.8% higher average benchmark score. Gemini 3 Pro offers 872.2K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $19.76 cheaper per million tokens. Gemini 3 Pro supports multimodal inputs. Overall, Gemini 3 Pro 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.
Google DeepMind
Gemini 3 Pro, released by Google in November 2025, is a large language model from the Gemini 3 family designed for complex reasoning, broad world knowledge, and multi-step problem solving. It features a 1M token context window, 64K maximum output tokens, and native multimodal input including text, images, audio, and video. Gemini 3 Pro targets research-grade reasoning, advanced data analysis, and applications requiring comprehensive understanding across diverse input formats.
10 months newer

DeepSeek-R1
DeepSeek
2025-01-20

Gemini 3 Pro
Google DeepMind
2025-11-18
Cost per million tokens (USD)
DeepSeek-R1
Gemini 3 Pro
Context window and performance specifications
Average performance across 2 common benchmarks
DeepSeek-R1
Gemini 3 Pro
Performance comparison across key benchmark categories
DeepSeek-R1
Gemini 3 Pro
Available providers and their performance metrics
DeepSeek-R1
DeepSeek
Gemini 3 Pro
DeepSeek-R1
Gemini 3 Pro
DeepSeek-R1
Gemini 3 Pro
Google Cloud Vertex AI