o3 Mini (batch)

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to "high", "medium", or "low" to control the thinking time of the model. The default is "medium". The model features three adjustable reasoning effort levels and supports key developer capabilities including function calling, structured outputs, and streaming, though it does not include vision processing capabilities. The model demonstrates significant improvements over its predecessor, with expert testers preferring its responses 56% of the time and noting a 39% reduction in major errors on complex questions. With medium reasoning effort settings, o3-mini matches the performance of the larger o1 model on challenging reasoning evaluations like AIME and GPQA, while maintaining lower latency and cost.

ChatOpenAI200k tokens$0.5995 / $2.3981 · 1M

openai/o3-mini:batch

Contexto
200k tokens
Máx. completion
100,000
Tools
Sí
JSON
Sí
Lanzamiento
2025-01-31

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": "openai/o3-mini:batch",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
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Preguntas frecuentes

¿Qué es o3 Mini (batch)?
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to "high", "medium", or "low" to control the thinking time of the model. The default is "medium". The model features three adjustable reasoning effort levels and supports key developer capabilities including function calling, structured outputs, and streaming, though it does not include vision processing capabilities. The model demonstrates significant improvements over its predecessor, with expert testers preferring its responses 56% of the time and noting a 39% reduction in major errors on complex questions. With medium reasoning effort settings, o3-mini matches the performance of the larger o1 model on challenging reasoning evaluations like AIME and GPQA, while maintaining lower latency and cost. o3 Mini (batch) corre en el API de Geek Hub (compatible con OpenAI). Id: openai/o3-mini:batch.
¿o3 Mini (batch) es gratis?
No. El input cuesta $0.5995 / 1M tokens y el output $2.3981 / 1M tokens en Geek Hub (markup incluido).
¿Cuál es el contexto de o3 Mini (batch)?
o3 Mini (batch) tiene una ventana de 200k tokens. Soporta hasta 100,000 tokens de completion.
¿o3 Mini (batch) soporta tool calling y structured outputs?
o3 Mini (batch) acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
¿Cuándo se lanzó o3 Mini (batch)?
o3 Mini (batch) se lanzó el 31 de enero de 2025.

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