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 · Verified 2026-07-21
Cache read $0.0625/M · Cache write —/M
| Tier | Input | Cache read | Cache write | Output |
|---|---|---|---|---|
| Standard ≤200K | $0.625 | $0.0625 | — | $5 |
| Standard >200K | $1.25 | $0.125 | — | $7.5 |
Use either ID to call this model via the API.
google/gemini-2.5-proYou can use these names directly in the request model field.
Replace the ONEHOP_KEY placeholder with your API key. Create one →
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 requests · last 30 days