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NVIDIA: Nemotron 3.5 Lightning vs Qwen: Qwen3.5-35B-A3B

Try both on us. Starter credit covers your first requests, then one key routes Nemotron 3.5 Lightning and Qwen3.5-35B-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. Qwen: Qwen3.5-35B-A3B has more Credits provider routes. Their context windows are the same size. There is not enough recent probe data to compare speed.

$0.223309/1MNVIDIA: Nemotron 3.5 Lightning cheapest route

$1.2027/1MQwen: Qwen3.5-35B-A3B cheapest route

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

not enough dataQwen: Qwen3.5-35B-A3B fastest measured p50 TTFT

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: Qwen3.5-35B-A3B

Model idnvidia/nemotron-3.5-lightningqwen/qwen3.5-35b-a3b

PublisherNVIDIA Alibaba Cloud Model Studio

AI IQ — —

Context262,144 tokens262,144 tokens

Credits provider routes35

Cheapest route$0.223309/1M$1.2027/1M

Cached input$0.01055/1M to $0.03165/1M$0.026375/1M to $0.237375/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFT841 ms via io-netnot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%not enough data

Modes chat chat

NVIDIA: Nemotron 3.5 Lightning routes

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

Qwen: Qwen3.5-35B-A3B routes

Overview5 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: Qwen3.5-35B-A3B?

Is NVIDIA: Nemotron 3.5 Lightning or Qwen: Qwen3.5-35B-A3B cheaper?

The current cheapest TrustedRouter route is $0.223309/1M for NVIDIA: Nemotron 3.5 Lightning and $1.2027/1M for Qwen: Qwen3.5-35B-A3B. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA: Nemotron 3.5 Lightning or Qwen: Qwen3.5-35B-A3B faster?

Current measured p50 time to first token is 841 ms for NVIDIA: Nemotron 3.5 Lightning and not enough data for Qwen: Qwen3.5-35B-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: Qwen3.5-35B-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/qwen3.5-35b-a3b. This makes side-by-side evals possible without maintaining two provider integrations.