Trusted by users from 10,000+ companies
Kimi K2.5 sets new open-source records across agentic reasoning, coding, vision, and long-context understanding. It consistently matches or outperforms leading closed models on benchmarks designed to test real-world problem solving.
Kimi K2.5 leads on Humanity’s Last Exam, BrowseComp, and DeepSearchQA, achieving top-percentile scores while reliably executing 100–300+ step reasoning chains, coordinating multi-tool workflows, and completing long-horizon autonomous tasks.
On SWE-bench Verified and Multilingual, Kimi K2.5 solves a high percentage of real GitHub issues by understanding thousands of lines of existing code, making minimal targeted changes, and delivering test-passing and production-quality fixes.
Top-tier results on MMMU, OmniDocBench, and VideoMMMU show Kimi K2.5 accurately reasoning over documents, diagrams, screenshots, and long-form videos, processing hundreds of visual elements per task where most multimodal models lose context or fail entirely.
Kimi K2.5 functions as a full AI-powered productivity layer across documents, spreadsheets, presentations, and PDFs. Users can automate tasks like consolidating dozens of departmental reports and building complex financial models.
Kimi K2.5 combines long-context reasoning, multimodal perception, and dynamic agent orchestration into a single open-source system built for real-world complexity.
Creates and coordinates multiple specialized agents dynamically to solve complex tasks in parallel.
Processes up to 256K tokens, enabling full-document, multi-file, and large-codebase reasoning.
Understands text, images, and video natively without relying on external vision pipelines.
Executes hundreds of reasoning and tool-use steps while maintaining coherence and accuracy.
Generates, edits, and debugs real-world software with high reliability across languages and frameworks.
Rebuilds interfaces and workflows directly from screenshots or screen recordings into clean code.
Creates financial models, presentations, reports, and professional PDFs with enterprise-level quality.
Drops seamlessly into existing stacks with familiar tooling and minimal migration effort.
Delivers state-of-the-art performance without lock-in, enabling customization, research, and deployment freedom.
