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kimi-k2

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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.

Input:$0.09 / 1M tokens
Output:$0.09 / 1M tokens
Context:32768 tokens
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Category Rankings
academia#16
finance#14
marketing#6
maths#16
writing#13

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Model Parameters
13 available
frequency_penalty
-202
logit_bias
logprobs
max_tokens
min_p
001
presence_penalty
-201.999
repetition_penalty
012
seed
stop
temperature
012
top_k
top_logprobs
top_p
011
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Publicly Shared Threads1
  • openrouter
    Data Extraction using Kimi K2
    19 days ago
    Discussion about Data Extraction using Kimi K2
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