OpenAI compatible API · Attested · Public status

nvidia/Nemotron-3.5-Lightning-30B-A3B vs Qwen: Qwen3.5 397B A17B

nvidia/Nemotron-3.5-Lightning-30B-A3B vs Qwen: Qwen3.5 397B A17B: 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

nvidia/Nemotron-3.5-Lightning-30B-A3B has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3.5 397B A17B has more provider fallback routes, while nvidia/Nemotron-3.5-Lightning-30B-A3B has the larger context window. Current TrustedRouter probes show Qwen: Qwen3.5 397B A17B with the lower p50 TTFT.

$0.26375/1Mnvidia/Nemotron-3.5-Lightning-30B-A3B cheapest route
$3.63975/1MQwen: Qwen3.5 397B A17B cheapest route
2510 msnvidia/Nemotron-3.5-Lightning-30B-A3B fastest measured p50 TTFT via wandb
1597 msQwen: Qwen3.5 397B A17B fastest measured p50 TTFT via morph

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/Nemotron-3.5-Lightning-30B-A3BQwen: Qwen3.5 397B A17B
Model idnvidia/nemotron-3.5-lightning-30b-a3bqwen/qwen3.5-397b-a17b
AI IQ
Context262,144 tokens262,144 tokens
Credits provider routes310
Cheapest route$0.26375/1M$3.63975/1M
Cached input$0.03165/1M to $0.05275/1M$0.047475/1M to $0.58025/1M
Privacy postureprovider posture varieshas provider E2EE route
Fastest measured p50 TTFT2510 ms via wandb1597 ms via morph
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%50.00% to 100.00%
Modes chat chat

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

Qwen: Qwen3.5 397B A17B 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",
    messages=messages,
)

Questions

Which should I use, nvidia/Nemotron-3.5-Lightning-30B-A3B or Qwen: Qwen3.5 397B A17B?

nvidia/Nemotron-3.5-Lightning-30B-A3B has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3.5 397B A17B has more provider fallback routes, while nvidia/Nemotron-3.5-Lightning-30B-A3B has the larger context window. Current TrustedRouter probes show Qwen: Qwen3.5 397B A17B with the lower p50 TTFT.

Is nvidia/Nemotron-3.5-Lightning-30B-A3B or Qwen: Qwen3.5 397B A17B cheaper?

The current cheapest TrustedRouter route is $0.26375/1M for nvidia/Nemotron-3.5-Lightning-30B-A3B and $3.63975/1M for Qwen: Qwen3.5 397B A17B. The comparison uses current catalog prices and updates as provider pricing changes.

Is nvidia/Nemotron-3.5-Lightning-30B-A3B or Qwen: Qwen3.5 397B A17B faster?

Current measured p50 time to first token is 2510 ms for nvidia/Nemotron-3.5-Lightning-30B-A3B and 1597 ms for Qwen: Qwen3.5 397B A17B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test nvidia/Nemotron-3.5-Lightning-30B-A3B and Qwen: Qwen3.5 397B A17B 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 and qwen/qwen3.5-397b-a17b. This makes side-by-side evals possible without maintaining two provider integrations.

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