Kimi K2 0711
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.
moonshotai/kimi-k2
- Contexto
- 131k tokens
- Máx. completion
- 100,352
- Tools
- Sí
- JSON
- No
- Lanzamiento
- 2025-07-11
Llámalo desde Geek Hub
El mismo SDK de OpenAI. Cambia el base URL y el id del modelo.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "moonshotai/kimi-k2",
"messages": [{"role": "user", "content": "Hola"}]
}'Consigue tu API keyPreguntas frecuentes
- ¿Qué es Kimi K2 0711?
- 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. Kimi K2 0711 corre en el API de Geek Hub (compatible con OpenAI). Id: moonshotai/kimi-k2.
- ¿Kimi K2 0711 es gratis?
- No. El input cuesta $0.6213 / 1M tokens y el output $2.5071 / 1M tokens en Geek Hub (markup incluido).
- ¿Cuál es el contexto de Kimi K2 0711?
- Kimi K2 0711 tiene una ventana de 131k tokens. Soporta hasta 100,352 tokens de completion.
- ¿Kimi K2 0711 soporta tool calling y structured outputs?
- Kimi K2 0711 acepta tools y tool_choice para function calling. No lista structured outputs en este endpoint.
- ¿Cuándo se lanzó Kimi K2 0711?
- Kimi K2 0711 se lanzó el 11 de julio de 2025.
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