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.
Source : gemini_x0.5 · Vérifié le 2026-07-21
Lecture cache $0.0625/M · Écriture cache —/M
| Palier | Entrée | Lecture cache | Écriture cache | Sortie |
|---|---|---|---|---|
| Standard ≤200K |
Utilisez l'un ou l'autre des IDs pour appeler ce modèle via l'API.
google/gemini-2.5-proYou can use these names directly in the request model field.
Remplacez le placeholder ONEHOP_KEY par votre API key. Créer →
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)| $0.625 |
| $0.0625 |
| — |
| $5 |
| Standard >200K | $1.25 | $0.125 | — | $7.5 |
6 543 requêtes · 30 derniers jours