Mercury 2.5 Preview
Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving 1,107 tokens/sec on standard GPUs. It delivers a 10+ point jump in intelligence over Mercury 2, comparable quality to cost-optimized frontier models like GPT-5.6 Luna (Low), Gemini 3.5 Flash-Lite, and Claude Haiku 4.5. Mercury 2.5 supports tunable reasoning levels, parallel tool calls, and schema-aligned JSON output. It's built for production workloads where latency compounds: search agents, voice pipelines, and coding subagents.
inception/mercury-2.5-preview
- Contexto
- 260k tokens
- Máx. completion
- 65,536
- Tools
- Sí
- JSON
- Sí
- Lanzamiento
- 2026-08-31
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": "inception/mercury-2.5-preview",
"messages": [{"role": "user", "content": "Hola"}]
}'Consigue tu API keyPreguntas frecuentes
- ¿Qué es Mercury 2.5 Preview?
- Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving 1,107 tokens/sec on standard GPUs. It delivers a 10+ point jump in intelligence over Mercury 2, comparable quality to cost-optimized frontier models like GPT-5.6 Luna (Low), Gemini 3.5 Flash-Lite, and Claude Haiku 4.5. Mercury 2.5 supports tunable reasoning levels, parallel tool calls, and schema-aligned JSON output. It's built for production workloads where latency compounds: search agents, voice pipelines, and coding subagents. Mercury 2.5 Preview corre en el API de Geek Hub (compatible con OpenAI). Id: inception/mercury-2.5-preview.
- ¿Mercury 2.5 Preview es gratis?
- No. El input cuesta $0.0436 / 1M tokens y el output $0.1635 / 1M tokens en Geek Hub (markup incluido).
- ¿Cuál es el contexto de Mercury 2.5 Preview?
- Mercury 2.5 Preview tiene una ventana de 260k tokens. Soporta hasta 65,536 tokens de completion.
- ¿Mercury 2.5 Preview soporta tool calling y structured outputs?
- Mercury 2.5 Preview acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
- ¿Cuándo se lanzó Mercury 2.5 Preview?
- Mercury 2.5 Preview se lanzó el 31 de agosto de 2026.