Kimi K2.7 Code
KimiKimiOpen WeightModified MIT License
Descripción
Kimi K2.7 Code is Moonshot AI's coding-focused agentic model built on Kimi K2.6. It improves real-world long-horizon coding task completion, instruction following, and token efficiency while reducing thinking-token usage by approximately 30% versus Kimi K2.6. The model uses a native multimodal Mixture-of-Experts architecture with 1T total parameters, 32B activated parameters, a 256K-token context window, image and video input support, and forced thinking with preserve_thinking enabled for multi-turn coding agent workflows.
Fecha de lanzamiento
2026-06-12
Parámetros
1.0T
Longitud del contexto
262K
Modalidades
image, text, video
Radar de capacidades
28
general
59
coding
90
reasoning
64
science
80
agents
90
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Capacidad agéntica | 6 | 66.0 | LS |
| Ranking de codificación | 96 | 77.0 | AA |
| Ranking general | 110 | 64.0 | AA |
| Razonamiento matemático | 42 | 80.0 | LB |
| Razonamiento | 30 | 83.0 | LB |
| Ciencia | 91 | 74.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
MCP-Mark
81.1%Aut.
Kimi Code Bench v2
62.0%Aut.
Program Bench
53.6%Aut.
Kimi Claw 24/7 Bench
46.9%Aut.
MLS-Bench Lite
35.1%Aut.
Code
DeepSWE 1.1
31.0%
Math
LiveBench
71.9%
Reasoning
MCP Atlas
76.0%Aut.
FrontierCode 1.1
30.1%
Índices de evaluación AA
(Artificial Analysis)Tau2(Sierra + U Toronto + Vector Institute (2025))90.1
Gpqa(NYU + Cohere + Anthropic (2023))89.6
Lcr(Artificial Analysis)79.3
Terminalbench V2 167.4
Ifbench(Google Research (2023))63.1
Coding Index(Artificial Analysis)60.8
Scicode(UIUC + Argonne National Lab (2024))47.8
Terminalbench Hard(Stanford × Laude Institute (2026))44.7
Hle(Center for AI Safety + Scale AI (2025))35.0
Intelligence Index(Artificial Analysis)26.3
Tau Banking20.2
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Tool Calling80
Math70
Reasoning50
General50
Agents50
Code50
Precios
Precio de entrada$0.95 / 1M tokens
Precio de salida$4 / 1M tokens
Precio mixto (3:1)$1.712 / 1M tokens
Precio de lectura caché$0.15 / 1M tokens
Velocidad
Tokens/seg43.8
Retraso del primer token1.15s
Tiempo hasta la respuesta52.03s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
34 proveedores
Más barato: DeepInfraMás caro: TensorX
ProveedorEntradaSalida
1DeepInfraMás barato
$0
$0
2routing.run
$0.275
$1.1
3CrofAI
$0.55
$2.25
4Ambient
$0.69
$3.49
5OpenRouter
$0.71
$3.5
6Venice AI
$0.75
$3.5
7Cortecs
$0.75
$3.5
8ai&
$0.75
$3.5
9Melious
$0.81144
$3.4776
10GreenPT
$0.9006
$4.389
11KimiPRINCIPAL
$0.95
$4
12302.AI
$0.95
$4
13NanoGPT
$0.95
$4
14OpenCode Go
$0.95
$4
15ZenMux
$0.95
$4
16NovitaAI
$0.95
$4
17Kilo Gateway
$0.95
$4
18GitHub Copilot
$0.95
$4
19OpenCode Zen
$0.95
$4
20Ollama Cloud
$0.95
$4
21AIHubMix
$0.95
$3.9995
22Moonshot AI (China)
$0.95
$4
23Requesty
$0.95
$4
24Vercel AI Gateway
$0.95
$4
25DevPass (LLM Gateway)
$0.95
$4
26Azure
$0.95
$4
27Moonshot AI
$0.95
$4
28Neuralwatt
$0.95
$4
29HPC-AI
$0.95
$4
30EmpirioLabs AI
$0.95
$4
31Ofox
$0.95
$4
32OpenReason
$1.0022
$4.22
33Charm Hyper
$1.03436
$4.3552
34TensorX
$1.25
$4.5
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