google/gemini-2.5-pro
Google's flagship long-context model. 1M-token context with strong reasoning, coding, and vision. Competitive with top-tier models on GPQA, MATH, and SWE-bench at significantly lower cost.
Fuente: gemini_x0.5 · Verificado el 2026-07-21
Lectura de caché $0.0625/M · Escritura de caché —/M
| Nivel | Entrada | Lectura de caché | Escritura de caché | Salida |
|---|---|---|---|---|
| Standard ≤200K | $0.625 | $0.0625 | — | $5 |
| Standard >200K | $1.25 | $0.125 | — | $7.5 |
Puedes usar cualquiera de los IDs para llamar al modelo via API.
google/gemini-2.5-proYou can use these names directly in the request model field.
Reemplaza el marcador ONEHOP_KEY con tu API key. Crear →
from openai import OpenAI
client = OpenAI(
base_url="https://api.onehop.ai/v1",
api_key="<ONEHOP_KEY>",
)
completion = client.chat.completions.create(
model="google/gemini-2.5-pro",
messages=[{"role": "user", "content": "What is the meaning of life?"}],
)
print(completion.choices[0].message.content)1 solicitudes · últimos 30 días