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

Try both on us. Starter credit covers your first requests, then one key routes Gemini 3.1 Pro Preview and Nemotron 3 Ultra. Switch by changing the model name.

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

Monthly evidence

Google: Gemini 3.1 Pro Preview has the larger context window. NVIDIA: Nemotron 3 Ultra has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.

$14.77/1MGoogle: Gemini 3.1 Pro Preview cheapest route
$2.79575/1MNVIDIA: Nemotron 3 Ultra cheapest route
2939 msGoogle: Gemini 3.1 Pro Preview fastest measured p50 TTFT via google-vertex
883 msNVIDIA: Nemotron 3 Ultra fastest measured p50 TTFT via wandb

The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

Google: Gemini 3.1 Pro PreviewNVIDIA: Nemotron 3 Ultra
Model idgoogle/gemini-3.1-pro-previewnvidia/nemotron-3-ultra-550b-a55b
Publisher Google AI Studio NVIDIA
AI IQ IQ 122#34 —
Context1,048,576 tokens262,144 tokens
Credits provider routes35
Cheapest route$14.77/1M$2.79575/1M
Cached input$0.211/1M to $0.422/1M$0.1055/1M to $0.1266/1M
Privacy posturehas ZDR routehas ZDR route
Fastest measured p50 TTFT2939 ms via google-vertex883 ms via wandb
Highest measured throughput79 tok/s via google-ai-studionot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

Google: Gemini 3.1 Pro Preview routes

NVIDIA: Nemotron 3 Ultra routes

Related comparisons

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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,
)

Questions

Which should I use, Google: Gemini 3.1 Pro Preview or NVIDIA: Nemotron 3 Ultra?

Google: Gemini 3.1 Pro Preview has the larger context window. NVIDIA: Nemotron 3 Ultra has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.

Is Google: Gemini 3.1 Pro Preview or NVIDIA: Nemotron 3 Ultra cheaper?

The current cheapest TrustedRouter route is $14.77/1M for Google: Gemini 3.1 Pro Preview and $2.79575/1M for NVIDIA: Nemotron 3 Ultra. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemini 3.1 Pro Preview or NVIDIA: Nemotron 3 Ultra faster?

Current measured p50 time to first token is 2939 ms for Google: Gemini 3.1 Pro Preview and 883 ms for NVIDIA: Nemotron 3 Ultra. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemini 3.1 Pro Preview and NVIDIA: Nemotron 3 Ultra with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between google/gemini-3.1-pro-preview and nvidia/nemotron-3-ultra-550b-a55b. This makes side-by-side evals possible without maintaining two provider integrations.

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