Particle-1
Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash. It is suited for software engineering work such as terminal workflows, codebase changes, and data engineering tasks, and is trained to complete them with substantially fewer reasoning and tool-call tokens while keeping accuracy close to its base model.
particle-ai/particle-1
- Contexto
- 1M tokens
- Máx. completion
- 131,072
- Tools
- Sí
- JSON
- Sí
- Lanzamiento
- 2026-10-28
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": "particle-ai/particle-1",
"messages": [{"role": "user", "content": "Hola"}]
}'Consigue tu API keyPreguntas frecuentes
- ¿Qué es Particle-1?
- Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash. It is suited for software engineering work such as terminal workflows, codebase changes, and data engineering tasks, and is trained to complete them with substantially fewer reasoning and tool-call tokens while keeping accuracy close to its base model. Particle-1 corre en el API de Geek Hub (compatible con OpenAI). Id: particle-ai/particle-1.
- ¿Particle-1 es gratis?
- No. El input cuesta $0.2725 / 1M tokens y el output $1.0901 / 1M tokens en Geek Hub (markup incluido).
- ¿Cuál es el contexto de Particle-1?
- Particle-1 tiene una ventana de 1M tokens. Soporta hasta 131,072 tokens de completion.
- ¿Particle-1 soporta tool calling y structured outputs?
- Particle-1 acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
- ¿Cuándo se lanzó Particle-1?
- Particle-1 se lanzó el 28 de octubre de 2026.