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nvidia/Nemotron-3.5-Lightning-30B-A3B vs Qwen: Qwen3 14B

Try both on us. Starter credit covers your first requests, then one key routes nvidia/Nemotron-3.5-Lightning-30B-A3B and Qwen3 14B. 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

nvidia/Nemotron-3.5-Lightning-30B-A3B has the lower published input-plus-output rate, the larger context window and the lower measured p50 time to first token. Qwen: Qwen3 14B has more Credits provider routes.

$0.26375/1Mnvidia/Nemotron-3.5-Lightning-30B-A3B cheapest route
$0.28485/1MQwen: Qwen3 14B cheapest route
812 msnvidia/Nemotron-3.5-Lightning-30B-A3B fastest measured p50 TTFT via nvidia-nim
1329 msQwen: Qwen3 14B fastest measured p50 TTFT via greenference

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/Nemotron-3.5-Lightning-30B-A3BQwen: Qwen3 14B
Model idnvidia/nemotron-3.5-lightning-30b-a3bqwen/qwen3-14b
AI IQ — —
Context262,144 tokens40,960 tokens
Credits provider routes35
Cheapest route$0.26375/1M$0.28485/1M
Cached input$0.03165/1M to $0.0422/1M$0.04009/1M
Privacy postureprovider posture varieshas ZDR route
Fastest measured p50 TTFT812 ms via nvidia-nim1329 ms via greenference
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

Qwen: Qwen3 14B routes

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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 14B?

nvidia/Nemotron-3.5-Lightning-30B-A3B has the lower published input-plus-output rate, the larger context window and the lower measured p50 time to first token. Qwen: Qwen3 14B has more Credits provider routes.

Is nvidia/Nemotron-3.5-Lightning-30B-A3B or Qwen: Qwen3 14B cheaper?

The current cheapest TrustedRouter route is $0.26375/1M for nvidia/Nemotron-3.5-Lightning-30B-A3B and $0.28485/1M for Qwen: Qwen3 14B. The comparison uses current catalog prices and updates as provider pricing changes.

Is nvidia/Nemotron-3.5-Lightning-30B-A3B or Qwen: Qwen3 14B faster?

Current measured p50 time to first token is 812 ms for nvidia/Nemotron-3.5-Lightning-30B-A3B and 1329 ms for Qwen: Qwen3 14B. 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 14B 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/qwen3-14b. This makes side-by-side evals possible without maintaining two provider integrations.

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