Kimi K2 Thinking
설명
Kimi K2 Thinking is the latest, most capable version of open-source thinking model. Starting with Kimi K2, it is built as a thinking agent that reasons step-by-step while dynamically invoking tools. It sets a new state-of-the-art on Humanity's Last Exam (HLE), BrowseComp, and other benchmarks by dramatically scaling multi-step reasoning depth and maintaining stable tool-use across 200–300 sequential calls. At the same time, K2 Thinking is a native INT4 quantization model with 256k context window, achieving lossless reductions in inference latency and GPU memory usage. Key features include deep thinking & tool orchestration with end-to-end training to interleave chain-of-thought reasoning with function calls, native INT4 quantization via Quantization-Aware Training (QAT) achieving lossless 2x speed-up, and stable long-horizon agency maintaining coherent goal-directed behavior across up to 200–300 consecutive tool invocations.
능력 레이더
전용 과학 벤치마크가 없을 때 Science는 추론 프록시를 사용하여 추정합니다.
랭킹
| 도메인 | #순위 | 점수 | 소스 |
|---|---|---|---|
| Agents & Tools | 63 | 54.0 | LS |
| Code Ranking | 60 | 70.0 | AA |
| General Ranking | 47 | 79.0 | AA |
| Math Reasoning | 12 | 96.0 | AA |
| Reasoning | 56 | 66.0 | LS |
| Science | 56 | 70.0 | AA |
벤치마크 점수 (LLM Stats)
Agents
Biology
Code
Communication
Economics
Finance
General
Healthcare
Math
Reasoning
AA 평가 지수
LLM Stats 카테고리 점수
가격
속도
사용 가능한 프로바이더
(LS 내부 단위)프로바이더 데이터가 없습니다