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google/gemma-4-12B-it vs NVIDIA: Nemotron 3 Ultra

Try both on us. Starter credit covers your first requests, then one key routes google/gemma-4-12B-it 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/gemma-4-12B-it has the lower published input-plus-output rate and the lower measured p50 time to first token. NVIDIA: Nemotron 3 Ultra has more Credits provider routes.

$0.13715/1Mgoogle/gemma-4-12B-it cheapest route

$2.79575/1MNVIDIA: Nemotron 3 Ultra cheapest route

739 msgoogle/gemma-4-12B-it fastest measured p50 TTFT via neurometric

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/gemma-4-12B-itNVIDIA: Nemotron 3 Ultra

Model idgoogle/gemma-4-12b-itnvidia/nemotron-3-ultra-550b-a55b

Publisher Google AI Studio NVIDIA

AI IQ IQ 95#141 —

Context0 tokens262,144 tokens

Credits provider routes35

Cheapest route$0.13715/1M$2.79575/1M

Cached input$0.15825/1M$0.1055/1M to $0.1266/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFT739 ms via neurometric883 ms via wandb

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

google/gemma-4-12B-it routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

NVIDIA: Nemotron 3 Ultra routes

Overview5 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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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/gemma-4-12b-it",
    messages=messages,
)

Questions

Which should I use, google/gemma-4-12B-it or NVIDIA: Nemotron 3 Ultra?

google/gemma-4-12B-it has the lower published input-plus-output rate and the lower measured p50 time to first token. NVIDIA: Nemotron 3 Ultra has more Credits provider routes.

Is google/gemma-4-12B-it or NVIDIA: Nemotron 3 Ultra cheaper?

The current cheapest TrustedRouter route is $0.13715/1M for google/gemma-4-12B-it and $2.79575/1M for NVIDIA: Nemotron 3 Ultra. The comparison uses current catalog prices and updates as provider pricing changes.

Is google/gemma-4-12B-it or NVIDIA: Nemotron 3 Ultra faster?

Current measured p50 time to first token is 739 ms for google/gemma-4-12B-it 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/gemma-4-12B-it 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/gemma-4-12b-it and nvidia/nemotron-3-ultra-550b-a55b. This makes side-by-side evals possible without maintaining two provider integrations.