Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in Kimi K2, it activates 32 billion parameters per forward pass and supports 256 k-token context windows. The model is optimized for persistent step-by-step thought, dynamic tool invocation, and complex reasoning workflows that span hundreds of turns. It interleaves step-by-step reasoning with tool use, enabling autonomous research, coding, and writing that can persist for hundreds of sequential actions without drift. It sets new open-source benchmarks on HLE, BrowseComp, SWE-Multilingual, and LiveCodeBench, while maintaining stable multi-agent behavior through 200–300 tool calls. Built on a large-scale MoE architecture with MuonClip optimization, it combines strong reasoning depth with high inference efficiency for demanding agentic and analytical tasks.
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Help me set up the Respan gateway: fetch and follow https:/
One provider serves this model through the Respan gateway. Copy a model ID to call that route directly.
| Provider | Input | Output |
|---|---|---|
Google Vertex AIBYOK only vertex_ai/moonshotai/kimi-k2-thinking-maas | $0.60/M | $2.50/M |
Is a provider down? Google AI status
USD per 1M tokens on Google Vertex AI, after gateway discounts.
Total cost from 0 to 1T tokens.
Use Kimi K2 Thinking Maas in the tools you already run. Each guide points the app at the Respan gateway, then you pick this model.
Setup guides for more apps are in the integration docs.
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