Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 2.9% higher average benchmark score. Gemini 3 Pro offers 744.0K more tokens in context window than Kimi K2 Thinking. Kimi K2 Thinking is $17.50 cheaper per million tokens. Gemini 3 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
Moonshot AI
Kimi K2 Thinking, released by Moonshot AI on November 6, 2025, is a reasoning-focused variant of Kimi K2 with 1 trillion total parameters and 32 billion active parameters, featuring extended chain-of-thought processing for complex problem solving. It builds on K2's agentic coding strengths with additional capabilities for mathematical and scientific reasoning. Kimi K2 Thinking targets open-source deployments requiring deep, deliberate reasoning across coding and analytical domains.
12 days newer
Kimi K2 Thinking
Moonshot AI
2025-11-06

Gemini 3 Pro
Google DeepMind
2025-11-18
Cost per million tokens (USD)
Gemini 3 Pro
Kimi K2 Thinking
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 3 Pro
Kimi K2 Thinking
Performance comparison across key benchmark categories
Gemini 3 Pro
Kimi K2 Thinking
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
Kimi K2 Thinking
Gemini 3 Pro
Kimi K2 Thinking
Gemini 3 Pro
Kimi K2 Thinking
Moonshot AI