Inkling Small (free)
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of the Inkling family and is suited for reasoning, coding, agentic workflows, retrieval-augmented generation, instruction following, and multilingual conversation.
thinkingmachines/inkling-small:free
- Contexto
- 262k tokens
- Máx. completion
- 262,144
- Tools
- Sí
- JSON
- No
- Lanzamiento
- 2026-07-30
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": "thinkingmachines/inkling-small:free",
"messages": [{"role": "user", "content": "Hola"}]
}'Consigue tu API keyPreguntas frecuentes
- ¿Qué es Inkling Small (free)?
- Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of the Inkling family and is suited for reasoning, coding, agentic workflows, retrieval-augmented generation, instruction following, and multilingual conversation. Inkling Small (free) corre en el API de Geek Hub (compatible con OpenAI). Id: thinkingmachines/inkling-small:free.
- ¿Inkling Small (free) es gratis?
- Sí. El precio listado es cero: no se cobran tokens de prompt ni de completion. Los endpoints gratis tienen rate limit.
- ¿Cuál es el contexto de Inkling Small (free)?
- Inkling Small (free) tiene una ventana de 262k tokens. Soporta hasta 262,144 tokens de completion.
- ¿Cuándo se lanzó Inkling Small (free)?
- Inkling Small (free) se lanzó el 30 de julio de 2026.
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- Inkling (free)Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning
- Inkling SmallInkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more