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.
所有提供方：为该模型提供服务的每个上游都支持。部分提供方：取决于处理请求的上游。默认值：未设置时发送的值。
| 参数 | 提供方 | 默认值 |
|---|---|---|
| frequency_penalty | 所有提供方 | 默认不发送 |
| include_reasoning | 所有提供方 | - |
| logit_bias | 部分提供方 | - |
| logprobs | 部分提供方 | - |
| max_tokens | 所有提供方 | - |
| min_p | 部分提供方 | - |
| parallel_tool_calls | 部分提供方 | - |
| presence_penalty | 部分提供方 | 默认不发送 |
| reasoning | 所有提供方 | - |
| repetition_penalty | 部分提供方 | 默认不发送 |
| response_format | 部分提供方 | - |
| seed | 部分提供方 | - |
| stop | 部分提供方 | - |
| structured_outputs | 部分提供方 | - |
| temperature | 部分提供方 | 默认不发送 |
| tool_choice | 所有提供方 | - |
| tools | 所有提供方 | - |
| top_k | 部分提供方 | 默认不发送 |
| top_logprobs | 部分提供方 | - |
| top_p | 部分提供方 | 默认不发送 |