OpenAI compatible API · Attested · Public status

Google: Gemini 3.6 Flash vs NVIDIA: Nemotron 3 Super

Google: Gemini 3.6 Flash vs NVIDIA: Nemotron 3 Super: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

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

Monthly evidence

Google: Gemini 3.6 Flash has the larger context window. NVIDIA: Nemotron 3 Super has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.

$4.7475/1MGoogle: Gemini 3.6 Flash cheapest route
$0.511675/1MNVIDIA: Nemotron 3 Super cheapest route
1781 msGoogle: Gemini 3.6 Flash fastest measured p50 TTFT via google-vertex
1224 msNVIDIA: Nemotron 3 Super fastest measured p50 TTFT via nvidia-nim

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 3.6 FlashNVIDIA: Nemotron 3 Super
Model idgoogle/gemini-3.6-flashnvidia/nemotron-3-super-120b-a12b
AI IQ IQ 122#20
Context1,048,576 tokens262,144 tokens
Credits provider routes24
Cheapest route$4.7475/1M$0.511675/1M
Cached input$0.079125/1M$0.15825/1M
Privacy posturehas ZDR routehas ZDR route
Fastest measured p50 TTFT1781 ms via google-vertex1224 ms via nvidia-nim
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

Google: Gemini 3.6 Flash routes

NVIDIA: Nemotron 3 Super 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-3.6-flash",
    messages=messages,
)

Questions

Which should I use, Google: Gemini 3.6 Flash or NVIDIA: Nemotron 3 Super?

Google: Gemini 3.6 Flash has the larger context window. NVIDIA: Nemotron 3 Super has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.

Is Google: Gemini 3.6 Flash or NVIDIA: Nemotron 3 Super cheaper?

The current cheapest TrustedRouter route is $4.7475/1M for Google: Gemini 3.6 Flash and $0.511675/1M for NVIDIA: Nemotron 3 Super. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemini 3.6 Flash or NVIDIA: Nemotron 3 Super faster?

Current measured p50 time to first token is 1781 ms for Google: Gemini 3.6 Flash and 1224 ms for NVIDIA: Nemotron 3 Super. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemini 3.6 Flash and NVIDIA: Nemotron 3 Super 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-3.6-flash and nvidia/nemotron-3-super-120b-a12b. This makes side-by-side evals possible without maintaining two provider integrations.

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