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NVIDIA: Nemotron 3 Nano 30B A3B vs Qwen/Qwen3-235B-A22B-Instruct-2507

Try both on us. Starter credit covers your first requests, then one key routes Nemotron 3 Nano 30B A3B and Qwen/Qwen3-235B-A22B-Instruct-2507. 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 Nano 30B A3B has the lower published input-plus-output rate and the lower measured p50 time to first token. Qwen/Qwen3-235B-A22B-Instruct-2507 has more Credits provider routes. Their context windows are the same size.

$0.26375/1MNVIDIA: Nemotron 3 Nano 30B A3B cheapest route
$0.6752/1MQwen/Qwen3-235B-A22B-Instruct-2507 cheapest route
980 msNVIDIA: Nemotron 3 Nano 30B A3B fastest measured p50 TTFT via crusoe
1351 msQwen/Qwen3-235B-A22B-Instruct-2507 fastest measured p50 TTFT via scaleway

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 Nano 30B A3BQwen/Qwen3-235B-A22B-Instruct-2507
Model idnvidia/nemotron-3-nano-30b-a3bqwen/qwen3-235b-a22b-instruct-2507
AI IQ — —
Context262,144 tokens262,144 tokens
Credits provider routes35
Cheapest route$0.26375/1M$0.6752/1M
Cached input$0.03165/1MNot published
Privacy postureprovider posture variesprovider posture varies
Fastest measured p50 TTFT980 ms via crusoe1351 ms via scaleway
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

NVIDIA: Nemotron 3 Nano 30B A3B routes

Qwen/Qwen3-235B-A22B-Instruct-2507 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-nano-30b-a3b",
    messages=messages,
)

Questions

Which should I use, NVIDIA: Nemotron 3 Nano 30B A3B or Qwen/Qwen3-235B-A22B-Instruct-2507?

NVIDIA: Nemotron 3 Nano 30B A3B has the lower published input-plus-output rate and the lower measured p50 time to first token. Qwen/Qwen3-235B-A22B-Instruct-2507 has more Credits provider routes. Their context windows are the same size.

Is NVIDIA: Nemotron 3 Nano 30B A3B or Qwen/Qwen3-235B-A22B-Instruct-2507 cheaper?

The current cheapest TrustedRouter route is $0.26375/1M for NVIDIA: Nemotron 3 Nano 30B A3B and $0.6752/1M for Qwen/Qwen3-235B-A22B-Instruct-2507. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA: Nemotron 3 Nano 30B A3B or Qwen/Qwen3-235B-A22B-Instruct-2507 faster?

Current measured p50 time to first token is 980 ms for NVIDIA: Nemotron 3 Nano 30B A3B and 1351 ms for Qwen/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 Nano 30B A3B and Qwen/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-nano-30b-a3b and qwen/qwen3-235b-a22b-instruct-2507. This makes side-by-side evals possible without maintaining two provider integrations.

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