OpenAI compatible API · Attested · Public status

nvidia/Nemotron-3.5-Lightning-30B-A3B vs Qwen3 235B A22B Instruct 2507

nvidia/Nemotron-3.5-Lightning-30B-A3B vs Qwen3 235B A22B Instruct 2507: 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. Qwen3 235B A22B Instruct 2507 has more provider fallback routes, while nvidia/Nemotron-3.5-Lightning-30B-A3B has the larger context window. Current TrustedRouter probes show Qwen3 235B A22B Instruct 2507 with the lower p50 TTFT.

$0.26375/1Mnvidia/Nemotron-3.5-Lightning-30B-A3B cheapest route

$0.6752/1MQwen3 235B A22B Instruct 2507 cheapest route

2510 msnvidia/Nemotron-3.5-Lightning-30B-A3B fastest measured p50 TTFT via wandb

1326 msQwen3 235B A22B Instruct 2507 fastest measured p50 TTFT via scaleway

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-A3BQwen3 235B A22B Instruct 2507

Model idnvidia/nemotron-3.5-lightning-30b-a3bqwen/qwen3-235b-a22b-instruct-2507

Publisher Crusoe Novita AI

AI IQ — —

Context262,144 tokens131,072 tokens

Credits provider routes36

Cheapest route$0.26375/1M$0.6752/1M

Cached input$0.03165/1M to $0.05275/1M$0.024265/1M

Privacy postureprovider posture variesprovider posture varies

Fastest measured p50 TTFT2510 ms via wandb1326 ms via scaleway

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

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

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

Qwen3 235B A22B Instruct 2507 routes

Overview6 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-lightning-30b-a3b",
    messages=messages,
)

Questions

Which should I use, nvidia/Nemotron-3.5-Lightning-30B-A3B or Qwen3 235B A22B Instruct 2507?

Is nvidia/Nemotron-3.5-Lightning-30B-A3B or Qwen3 235B A22B Instruct 2507 cheaper?

The current cheapest TrustedRouter route is $0.26375/1M for nvidia/Nemotron-3.5-Lightning-30B-A3B and $0.6752/1M for Qwen3 235B A22B Instruct 2507. The comparison uses current catalog prices and updates as provider pricing changes.

Is nvidia/Nemotron-3.5-Lightning-30B-A3B or Qwen3 235B A22B Instruct 2507 faster?

Current measured p50 time to first token is 2510 ms for nvidia/Nemotron-3.5-Lightning-30B-A3B and 1326 ms for Qwen3 235B A22B Instruct 2507. 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 Qwen3 235B A22B Instruct 2507 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/qwen3-235b-a22b-instruct-2507. This makes side-by-side evals possible without maintaining two provider integrations.