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Modelo de IA

Kimi K2.7 Code

Kimi

Probar ahora ↗
Lanzamiento6/2026
Velocidad101 tokens/s
Tiempo hasta el primer token1.20s
Precio de entrada$0.95/1M
Precio de salida$4/1M

Clasificación

#72
AIM 48.2Puesto máximo: #17
#40
AIM 75.8Puesto máximo: #11
#41
AIM 91.1Puesto máximo: #13
#71
AIM 82.7Puesto máximo: #41

Análisis

Kimi K2.7 Code is best suited for developers and engineers who need a model specialized in reasoning and coding. However, due to weak general chat and mediocre agent capabilities, it is not an all-around model—choose it if you need a specialized coding partner rather than a general-purpose AI assistant.

Puntos fuertes

  • Strong reasoning: ranked high on AIM, well-suited for complex problem-solving and in-depth analysis
  • Solid coding capabilities: ranked #18 on coding leaderboards, powerful enough for most development tasks
  • Stable baseline agent capabilities: handles simple to moderate automation tasks

Puntos débiles

  • Weakest at general chat: ranked #23, lower than all other categories, and suboptimal for conversational experiences
  • Mediocre agent performance: ranked #50 compared to top models, making it unsuitable for complex multi-step automation
  • Lack of versatility: narrowly focused on reasoning and coding, lacking balance for multi-purpose use

Casos de uso

Solving logic problems, mathematical reasoning, and complex data analysisCode generation, refactoring, debugging, and code reviews for software projectsServing as a dedicated coding assistant for developers and engineers rather than a general chatbot

Guías y videos

Released by Moonshot AI in June 2026, Kimi K2.7 Code is accessible via the Kimi API at platform.kimi.ai, downloadable for free on Hugging Face (Modified MIT License), and available on OpenRouter. Built specifically for coding, it is optimized for long-horizon software engineering tasks like agentic coding, multi-file codebase navigation, and complex debugging with a 256K-token context window. Based on a 1-trillion-parameter Mixture-of-Experts architecture (32B active per token), it operates permanently in thinking mode and reduces reasoning tokens by 30% compared to K2.6, cutting costs. API pricing: $0.95/M input tokens, $4.00/M output tokens. Tip: Use K2.7 Code for long, complex engineering tasks; for standard general-purpose workloads, Moonshot still recommends K2.6.

Reseñas

Kimi K2.7 Code — Perfil y clasificación · AI Race