OpenAI compatible API · Attested · Public status

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 vs OpenAI: gpt-oss-120b

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 vs gpt-oss-120b: 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

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.

$1.21325/1Mnvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 cheapest route
$0.211/1MOpenAI: gpt-oss-120b cheapest route
not enough datanvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 fastest measured p50 TTFT
1005 msOpenAI: gpt-oss-120b fastest measured p50 TTFT via cerebras

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-Lightning-30B-A3B-BF16OpenAI: gpt-oss-120b
Model idnvidia/nemotron-3.5-lightning-30b-a3b-bf16openai/gpt-oss-120b
AI IQ — IQ 97#116
Context65,536 tokens131,072 tokens
Credits provider routes022
Cheapest route$1.21325/1M$0.211/1M
Cached inputNot published$0.015825/1M to $0.1055/1M
Privacy postureprovider posture varieshas provider E2EE route
Fastest measured p50 TTFTnot enough data1005 ms via cerebras
Highest measured throughputnot enough datanot enough data
Recent route uptime rangenot enough data66.67% to 100.00%
Modes chat chat

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 routes

OpenAI: gpt-oss-120b 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="nvidia/nemotron-3.5-lightning-30b-a3b-bf16",
    messages=messages,
)

Questions

Which should I use, nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 or OpenAI: gpt-oss-120b?

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.

Is nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 or OpenAI: gpt-oss-120b cheaper?

The current cheapest TrustedRouter route is $1.21325/1M for nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-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-Lightning-30B-A3B-BF16 or OpenAI: gpt-oss-120b faster?

Current measured p50 time to first token is not enough data for nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 and 1005 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-Lightning-30B-A3B-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-lightning-30b-a3b-bf16 and openai/gpt-oss-120b. This makes side-by-side evals possible without maintaining two provider integrations.

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