OpenAI compatible API · Attested · Public status

Google: Gemini 2.5 Pro vs NVIDIA: Nemotron 3 Super

Compare Google: Gemini 2.5 Pro and NVIDIA: Nemotron 3 Super by providers, context, price, and TrustedRouter route support.

Verify gateway

Onebase URL to migrate

100sof models and routes

Noneprompt logs by default

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 Super has the lower cheapest prompt+completion route on TrustedRouter. Google: Gemini 2.5 Pro has more provider fallback routes, while Google: Gemini 2.5 Pro has the larger context window. Current TrustedRouter probes show NVIDIA: Nemotron 3 Super with the lower p50 TTFT.

$11.8125/1MGoogle: Gemini 2.5 Pro cheapest route

$1.26/1MNVIDIA: Nemotron 3 Super cheapest route

5447 msGoogle: Gemini 2.5 Pro measured p50 TTFT

5380 msNVIDIA: Nemotron 3 Super measured p50 TTFT

Google: Gemini 2.5 ProNVIDIA: Nemotron 3 Super

Model idgoogle/gemini-2.5-pronvidia/nemotron-3-super-120b-a12b

PublisherGoogle AI StudioNebius Token Factory

AI IQ IQ 104#55 —

Context1,048,576 tokens1,000,000 tokens

Provider routes84

Cheapest route$11.8125/1M$1.26/1M

Privacy postureprovider posture varieshas ZDR route

Modes chat chat

Google: Gemini 2.5 Pro routes

Overview8 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

NVIDIA: Nemotron 3 Super routes

Overview4 endpoints
PricingPrompt and completion rates
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,
)