Kimi K2 — reviews, specs & pricing

Moonshot AI's trillion-parameter open MoE model for agentic tasks.

Summary

Kimi K2 is a 1T parameter (32B active) mixture-of-experts model trained for agentic tool-use and coding, released with open weights under a modified MIT license. It achieves state-of-the-art results among open models on agentic benchmarks. It supports a 128k context window.

Sample use case

Used for autonomous coding agents, tool-calling workflows, and research into large-scale MoE training. Popular among developers wanting an open GPT-4-class agentic model.

Specifications

  • Provider: moonshot ai
  • License: open
  • Parameters: 1000B
  • Context: 128k tokens
  • Input price: $0.6/M tok
  • Output price: $2.5/M tok
  • Released: 2025-07-11

Pros

  • Open weights at frontier scale
  • Strong agentic/tool-use performance
  • Low API cost

Cons

  • Massive compute needed to self-host
  • Newer with less track record
  • Chinese-lab model, data governance questions for some users

Average rating 0.0 from 0 community reviews on Reviuws.

Frequently asked questions

What is Kimi K2?

Kimi K2 is a 1T parameter (32B active) mixture-of-experts model trained for agentic tool-use and coding, released with open weights under a modified MIT license. It achieves state-of-the-art results among open models on agentic benchmarks. It supports a 128k context window.

How much does Kimi K2 cost?

Kimi K2 costs $0.6 per million input tokens and $2.5 per million output tokens.

Is Kimi K2 open source?

Kimi K2 is released under the open license.