OpenAI compatible API · Attested · Public status
Google: Gemini 2.5 Pro vs NVIDIA: Nemotron 3 Ultra
Compare Google: Gemini 2.5 Pro and NVIDIA: Nemotron 3 Ultra across token pricing, context windows, provider availability, privacy options, route diversity, and measured performance.
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
Compare routesProviders, price, context, and policy posture in one view.
Use auto when uptime mattersKeep a primary model and let fallback handle provider failures.
Same API shapeUse the OpenAI client and set the model you want.
Practical read
NVIDIA: Nemotron 3 Ultra has the lower cheapest prompt+completion route on TrustedRouter. NVIDIA: Nemotron 3 Ultra has more provider fallback routes, while Google: Gemini 2.5 Pro has the larger context window. Current TrustedRouter probes show NVIDIA: Nemotron 3 Ultra with the lower p50 TTFT.
$11.8125/1MGoogle: Gemini 2.5 Pro cheapest route
$3.15/1MNVIDIA: Nemotron 3 Ultra cheapest route
4109 msGoogle: Gemini 2.5 Pro measured p50 TTFT
1859 msNVIDIA: Nemotron 3 Ultra measured p50 TTFT
Google: Gemini 2.5 ProNVIDIA: Nemotron 3 Ultra
Model id
google/gemini-2.5-pronvidia/nemotron-3-ultra-550b-a55b
Context1,048,576 tokens512,288 tokens
Provider routes67
Cheapest route$11.8125/1M$3.15/1M
Privacy posturehas ZDR routehas ZDR route
Modes
chat
chat
Google: Gemini 2.5 Pro routes
- Overview6 endpoints
- PricingPrompt and completion rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
Production choice
Pick a default model. Keep fallback enabled.
TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.
OpenAI clientPython
client = OpenAI(
base_url="https://api.trustedrouter.com/v1",
api_key="sk-tr-v1-..."
)
response = client.chat.completions.create(
model="google/gemini-2.5-pro",
messages=messages,
)