Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 9.0% higher average benchmark score. Gemini 3 Pro offers 744.0K more tokens in context window than Kimi K2.5. Kimi K2.5 is $15.00 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 K2.5, released by Moonshot AI in January 2026, is an updated Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters. It builds on Kimi K2 with improved coding performance across multiple languages and an expanded context window. Kimi K2.5 targets agentic development workflows, polyglot code generation, and open-source deployments requiring large-scale MoE reasoning.
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Gemini 3 Pro
Google DeepMind
2025-11-18
Kimi K2.5
Moonshot AI
2026-01
Cost per million tokens (USD)
Gemini 3 Pro
Kimi K2.5
Context window and performance specifications
Average performance across 4 common benchmarks
Gemini 3 Pro
Kimi K2.5
Performance comparison across key benchmark categories
Gemini 3 Pro
Kimi K2.5
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
Kimi K2.5
Gemini 3 Pro
Kimi K2.5
Gemini 3 Pro
Kimi K2.5
Moonshot AI