Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 57.9% higher average benchmark score. Gemini 3 Pro offers 872.2K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 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-V3.1, released by DeepSeek in August 2025, is a hybrid large language model with 671 billion total parameters (37 billion active) that unifies the capabilities of DeepSeek-V3 and DeepSeek-R1 in a single model. It features a 128K token context window and supports both direct generation and extended reasoning modes selectable via the chat template. DeepSeek-V3.1 targets general-purpose tasks, coding, and complex 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.
2 months newer

DeepSeek-V3.1
DeepSeek
2025-08-21

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