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NVIDIA: Nemotron 3.5 Lightning vs Qwen: Qwen3.6 35B A3B

Try both on us. Starter credit covers your first requests, then one key routes Nemotron 3.5 Lightning and Qwen3.6 35B A3B. 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 has the lower published input-plus-output rate and the lower measured p50 time to first token. Qwen: Qwen3.6 35B A3B has more Credits provider routes. Their context windows are the same size.

$0.223309/1MNVIDIA: Nemotron 3.5 Lightning cheapest route

$0.363975/1MQwen: Qwen3.6 35B A3B cheapest route

841 msNVIDIA: Nemotron 3.5 Lightning fastest measured p50 TTFT via io-net

1099 msQwen: Qwen3.6 35B A3B fastest measured p50 TTFT via wandb

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 LightningQwen: Qwen3.6 35B A3B

Model idnvidia/nemotron-3.5-lightningqwen/qwen3.6-35b-a3b

PublisherNVIDIA Alibaba Cloud Model Studio

AI IQ — IQ 104#105

Context262,144 tokens262,144 tokens

Credits provider routes314

Cheapest route$0.223309/1M$0.363975/1M

Cached input$0.01055/1M to $0.03165/1M$0.015825/1M to $0.19623/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFT841 ms via io-net1099 ms via wandb

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

NVIDIA: Nemotron 3.5 Lightning routes

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

Qwen: Qwen3.6 35B A3B routes

Overview14 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",
    messages=messages,
)

Questions

Which should I use, NVIDIA: Nemotron 3.5 Lightning or Qwen: Qwen3.6 35B A3B?

Is NVIDIA: Nemotron 3.5 Lightning or Qwen: Qwen3.6 35B A3B cheaper?

The current cheapest TrustedRouter route is $0.223309/1M for NVIDIA: Nemotron 3.5 Lightning and $0.363975/1M for Qwen: Qwen3.6 35B A3B. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA: Nemotron 3.5 Lightning or Qwen: Qwen3.6 35B A3B faster?

Current measured p50 time to first token is 841 ms for NVIDIA: Nemotron 3.5 Lightning and 1099 ms for Qwen: Qwen3.6 35B A3B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test NVIDIA: Nemotron 3.5 Lightning and Qwen: Qwen3.6 35B A3B 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 and qwen/qwen3.6-35b-a3b. This makes side-by-side evals possible without maintaining two provider integrations.