Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for agentic capabilities, including advanced tool use, reasoning, and code synthesis. Kimi K2 excels across a broad range of benchmarks, particularly in coding (LiveCodeBench, SWE-bench), reasoning (ZebraLogic, GPQA), and tool-use (Tau2, AceBench) tasks. It supports long-context inference up to 128K tokens and is designed with a novel training stack that includes the MuonClip optimizer for stable large-scale MoE training.
All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.
| Parameter | Providers | Default |
|---|---|---|
| frequency_penalty | All providers | Not sent by default |
| include_reasoning | All providers | - |
| logit_bias | Some providers | - |
| logprobs | Some providers | - |
| max_tokens | All providers | - |
| min_p | Some providers | - |
| parallel_tool_calls | Some providers | - |
| presence_penalty | Some providers | Not sent by default |
| reasoning | All providers | - |
| repetition_penalty | Some providers | Not sent by default |
| response_format | Some providers | - |
| seed | Some providers | - |
| stop | Some providers | - |
| structured_outputs | Some providers | - |
| temperature | Some providers | Not sent by default |
| tool_choice | All providers | - |
| tools | All providers | - |
| top_k | Some providers | Not sent by default |
| top_logprobs | Some providers | - |
| top_p | Some providers | Not sent by default |
All providers for this model are busy right now
Every upstream provider has hit its rate limit. The model comes back automatically once limits lift, usually within hours. Try again in a little while or switch to another model.
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