Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 4.9% higher average benchmark score. Gemini 3 Pro offers 872.2K more tokens in context window than DeepSeek-V3.2 Thinking. DeepSeek-V3.2 Thinking is $19.76 cheaper per million tokens. Gemini 3 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.2-Exp (DeepSeek-V3.2 Thinking), released by DeepSeek in September 2025, is the experimental preview release of the DeepSeek-V3.2 model featuring 685 billion total parameters and integrated thinking capabilities. It introduced the architecture and training approaches that became the foundation of the final V3.2 release, including thinking in tool-use and hybrid reasoning modes.
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.
1 month newer

DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29

Gemini 3 Pro
Google DeepMind
2025-11-18
Cost per million tokens (USD)
DeepSeek-V3.2 Thinking
Gemini 3 Pro
Context window and performance specifications
Average performance across 1 common benchmarks
DeepSeek-V3.2 Thinking
Gemini 3 Pro
Performance comparison across key benchmark categories
DeepSeek-V3.2 Thinking
Gemini 3 Pro
Available providers and their performance metrics
DeepSeek-V3.2 Thinking
DeepSeek
Gemini 3 Pro
DeepSeek-V3.2 Thinking
Gemini 3 Pro
DeepSeek-V3.2 Thinking
Gemini 3 Pro
Google Cloud Vertex AI