Comprehensive side-by-side LLM comparison
Kimi K2.5 leads with 19.5% higher average benchmark score. Gemini 2.5 Flash offers 744.0K more tokens in context window than Kimi K2.5. Gemini 2.5 Flash is $6.75 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Overall, Kimi K2.5 is the stronger choice for coding tasks.
Google DeepMind
Gemini 2.5 Flash, released by Google in June 2025, is a large language model from the Gemini 2.5 family optimized for high-throughput, cost-efficient deployments with multimodal reasoning. It features a 1M token context window, hybrid thinking control, and native support for text, image, video, and audio input. Gemini 2.5 Flash targets latency-sensitive applications, document analysis, and high-volume API workloads that benefit from combined reasoning and generation in a single model.
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.
6 months newer

Gemini 2.5 Flash
Google DeepMind
2025-06-17
Kimi K2.5
Moonshot AI
2026-01
Cost per million tokens (USD)
Gemini 2.5 Flash
Kimi K2.5
Context window and performance specifications
Average performance across 2 common benchmarks
Gemini 2.5 Flash
Kimi K2.5
Performance comparison across key benchmark categories
Gemini 2.5 Flash
Kimi K2.5
Available providers and their performance metrics
Gemini 2.5 Flash
Google Cloud Vertex AI
Kimi K2.5
Gemini 2.5 Flash
Kimi K2.5
Gemini 2.5 Flash
Kimi K2.5
Moonshot AI