Model
Gemini Chrome (bridge)
Talk to Google Gemini 2.5 Pro through the OpenAI shape. Behind the model id gemini-chrome is a session-bridge that drives a real, authenticated Gemini browser tab on Meridian infrastructure — no Google API key required from you.
Context
1M tokens in
Output cap
65K tokens
p50 latency
10–15s
Pricing
$2 / 1M input · $10 / 1M output wholesale, then the standard Meridian margin (see pricing explainer).
Pricing reflects the cost of running a dedicated headed browser session 24/7 in Sweden Central, not the underlying Gemini model price.
Python
from openai import OpenAI
client = OpenAI(
api_key="nim_live_***",
base_url="https://meridian.getnimbus.net/api/v1",
)
resp = client.chat.completions.create(
model="gemini-chrome",
messages=[{"role": "user", "content": "Summarize the Linux kernel scheduler."}],
# Bridge round-trip is 10-15s typical — raise client timeout
timeout=60,
)
print(resp.choices[0].message.content)cURL
curl https://meridian.getnimbus.net/api/v1/chat/completions \
-H "Authorization: Bearer nim_live_***" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-chrome",
"messages": [{"role": "user", "content": "ping"}]
}'When to pick it
- You want Gemini 2.5 Pro without managing your own Google API quota
- You want 1M-token context windows for long-doc reasoning
- You can tolerate 10–15s response times
When NOT to pick it
- Latency-sensitive workloads — use
gemini-3-flashorgemini-3.1-proinstead (sub-2s). - High-RPS bulk inference — bridge throughput is bounded by browser session count.
- Strict region pinning — bridge runs in Sweden Central only.