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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.
Índice de Qualidade
40.9
41st de 442
Top 9%
Índice de Código
34.8
49th de 352
Top 14%
Índice de Matemática
94.7
10th de 268
Top 4%
Preço/1M
$1.07
491st mais barato
247% acima da mediana
Top 72%
Velocidade
102 tok/s
Top 27%
TTFT
0.64s
Janela de Contexto
131K
145th maior
Top 63%
Entrada
$0.60
por 1M tokens
Saída
$2.50
por 1M tokens
Combinado
$1.07
por 1M tokens
Mais barato que 28% dos modelos. Preço mediano é $0.31/1M tokens.
Diário
$1.07
Mensal
$32.25
102
tokens/seg
Mais rápido que 73% dos modelos
0.64
segundos
Mais rápido que 39% dos modelos
20.24
segundos
Mais rápido que 14% dos modelos
Mediana do Mercado
46 tok/s
124% mais rápido
TTFT Mediano
0.42s
52% mais lento
Vazão/Dólar
95
tok/s por $/1M
Comparação de Velocidade
Janela de Contexto
131K
tokens
Maior que 37% dos modelos