Comprehensive side-by-side LLM comparison
Kimi K2.5 leads with 6.6% higher average benchmark score. Gemini 2.5 Pro offers 744.0K more tokens in context window than Kimi K2.5. Kimi K2.5 is $3.75 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Overall, Kimi K2.5 is the stronger choice for coding tasks.
Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
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.
7 months newer

Gemini 2.5 Pro
Google DeepMind
2025-05-20
Kimi K2.5
Moonshot AI
2026-01
Cost per million tokens (USD)
Gemini 2.5 Pro
Kimi K2.5
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 2.5 Pro
Kimi K2.5
Performance comparison across key benchmark categories
Gemini 2.5 Pro
Kimi K2.5
Available providers and their performance metrics
Gemini 2.5 Pro
Google Cloud Vertex AI
Kimi K2.5
Gemini 2.5 Pro
Kimi K2.5
Gemini 2.5 Pro
Kimi K2.5
Moonshot AI