Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 7.1% higher average benchmark score. Gemini 3 Pro offers 872.2K more tokens in context window than DeepSeek-V3.2. DeepSeek-V3.2 is $21.13 cheaper per million tokens. Gemini 3 Pro supports multimodal inputs. Overall, Gemini 3 Pro is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.2, released by DeepSeek on December 1, 2025, is a large language model with 685 billion total parameters featuring integrated thinking in tool-use and support for both reasoning and direct generation modes. It features a 128K token context window and introduced large-scale agent training across 1,800+ environments. DeepSeek-V3.2 targets agentic workflows, complex instruction following, and coding tasks 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.
13 days newer

Gemini 3 Pro
Google DeepMind
2025-11-18

DeepSeek-V3.2
DeepSeek
2025-12-01
Cost per million tokens (USD)
DeepSeek-V3.2
Gemini 3 Pro
Context window and performance specifications
Average performance across 2 common benchmarks
DeepSeek-V3.2
Gemini 3 Pro
Performance comparison across key benchmark categories
DeepSeek-V3.2
Gemini 3 Pro
Available providers and their performance metrics
DeepSeek-V3.2
DeepSeek
Gemini 3 Pro
DeepSeek-V3.2
Gemini 3 Pro
DeepSeek-V3.2
Gemini 3 Pro
Google Cloud Vertex AI