Moonshot AI
Open-weight Kimi models tuned for agentic and coding tasks
Moonshot AI is profiled here as a LLM tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Moonshot AI is the lab behind the Kimi model family, including the open-weight K2 and K2.5 mixture-of-experts models that the team released under a permissive license. The models post strong results on agentic, coding, and reasoning benchmarks while keeping per-token costs low, which has driven fast developer adoption. Teams can call Kimi through Moonshot's hosted API or run the open weights themselves, and the models are also served through providers like Groq for high-speed inference.
Key Capabilities:
Open-weight K2 and K2.5 models available for self-hosting under a permissive license
A mixture-of-experts architecture that scales parameters while holding inference cost down
Strong coding and agentic performance with native tool-use support
A hosted API for teams that prefer managed inference
Long-context handling for large documents and multi-file tasks
Availability across third-party inference providers for low-latency serving
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