OpenAI compatible API · Attested · Public status

Google: Gemini 3.1 Pro Preview vs NVIDIA: Nemotron 3 Super

Compare Google: Gemini 3.1 Pro Preview and NVIDIA: Nemotron 3 Super by providers, context, price, and TrustedRouter route support.

Verify gateway

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 Super has the lower cheapest prompt+completion route on TrustedRouter. Google: Gemini 3.1 Pro Preview has more provider fallback routes, while Google: Gemini 3.1 Pro Preview has the larger context window. Current TrustedRouter probes show NVIDIA: Nemotron 3 Super with the lower p50 TTFT.

$14.7/1MGoogle: Gemini 3.1 Pro Preview cheapest route

$1.26/1MNVIDIA: Nemotron 3 Super cheapest route

3097 msGoogle: Gemini 3.1 Pro Preview measured p50 TTFT

1134 msNVIDIA: Nemotron 3 Super measured p50 TTFT

Google: Gemini 3.1 Pro PreviewNVIDIA: Nemotron 3 Super

Model idgoogle/gemini-3.1-pro-previewnvidia/nemotron-3-super-120b-a12b

PublisherGoogle AI StudioNebius Token Factory

AI IQ IQ 127#9 —

Context1,048,576 tokens1,000,000 tokens

Provider routes74

Cheapest route$14.7/1M$1.26/1M

Privacy posturehas ZDR routehas ZDR route

Modes chat chat

Google: Gemini 3.1 Pro Preview routes

Overview7 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-3.1-pro-preview",
    messages=messages,
)