Bring your own key

nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 vs OpenAI: gpt-oss-120b

One key routes both. Starter credit covers your first gpt-oss-120b requests, while nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 runs on your own provider key. 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

gpt-oss-120b has more Credits provider routes and the larger context window. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.

$0.633/1Mnvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 cheapest route

$0.211/1MOpenAI: gpt-oss-120b cheapest route

not enough datanvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 fastest measured p50 TTFT

508 msOpenAI: gpt-oss-120b fastest measured p50 TTFT via mancer

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.

nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16OpenAI: gpt-oss-120b

Model idnvidia/nemotron-3.5-super-vl-120b-a12b-bf16openai/gpt-oss-120b

PublisherNVIDIA OpenAI

AI IQ — IQ 98#133

Context32,768 tokens131,072 tokens

Credits provider routes024

Cheapest route$0.633/1M$0.211/1M

Cached inputNot published$0.015825/1M to $0.1055/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFTnot enough data508 ms via mancer

Highest measured throughputnot enough data423 tok/s via cerebras

Recent route uptime rangenot enough data100.00%

Modes chat chat

nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 routes

Overview0 Credits routes

OpenAI: gpt-oss-120b routes

Overview24 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="nvidia/nemotron-3.5-super-vl-120b-a12b-bf16",
    messages=messages,
)

Questions

Which should I use, nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 or OpenAI: gpt-oss-120b?

Is nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 or OpenAI: gpt-oss-120b cheaper?

The current cheapest TrustedRouter route is $0.633/1M for nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 and $0.211/1M for OpenAI: gpt-oss-120b. The comparison uses current catalog prices and updates as provider pricing changes.

Is nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 or OpenAI: gpt-oss-120b faster?

Current measured p50 time to first token is not enough data for nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 and 508 ms for OpenAI: gpt-oss-120b. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 and OpenAI: gpt-oss-120b with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between nvidia/nemotron-3.5-super-vl-120b-a12b-bf16 and openai/gpt-oss-120b. This makes side-by-side evals possible without maintaining two provider integrations.