Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 25.6% higher average benchmark score. Gemini 3 Pro offers 744.0K more tokens in context window than Kimi K2. Kimi K2 is $19.40 cheaper per million tokens. Gemini 3 Pro supports multimodal inputs. Overall, Gemini 3 Pro is the stronger choice for coding tasks.
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, released by Moonshot AI on July 11, 2025, is an open-weight Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters per inference. It features a 256K token context window (expanded from 128K in an September 2025 update) and demonstrated strong performance on agentic coding benchmarks. Kimi K2 targets software engineering agents, tool-use workflows, and open-source deployments under a modified MIT license.
4 months newer
Kimi K2
Moonshot AI
2025-07-11

Gemini 3 Pro
Google DeepMind
2025-11-18
Cost per million tokens (USD)
Gemini 3 Pro
Kimi K2
Context window and performance specifications
Average performance across 2 common benchmarks
Gemini 3 Pro
Kimi K2
Performance comparison across key benchmark categories
Gemini 3 Pro
Kimi K2
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
Kimi K2
Gemini 3 Pro
Kimi K2
Gemini 3 Pro
Kimi K2
Moonshot AI