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NVIDIA: Nemotron 3.5 Super VL vs Qwen: Qwen3.5 397B A17B

Try both on us. Starter credit covers your first requests, then one key routes Nemotron 3.5 Super VL and Qwen3.5 397B A17B. 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 Super VL has the lower published input-plus-output rate, the larger context window and the lower measured p50 time to first token. Qwen: Qwen3.5 397B A17B has more Credits provider routes.

$0.5275/1MNVIDIA: Nemotron 3.5 Super VL cheapest route
$3.63975/1MQwen: Qwen3.5 397B A17B cheapest route
1400 msNVIDIA: Nemotron 3.5 Super VL fastest measured p50 TTFT via io-net
1453 msQwen: Qwen3.5 397B A17B fastest measured p50 TTFT via parasail

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 Super VLQwen: Qwen3.5 397B A17B
Model idnvidia/nemotron-3.5-super-vlqwen/qwen3.5-397b-a17b
AI IQ IQ 105#100 —
Context1,048,576 tokens262,144 tokens
Credits provider routes412
Cheapest route$0.5275/1M$3.63975/1M
Cached input$0.0211/1M to $0.089675/1M$0.047475/1M to $0.58025/1M
Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT1400 ms via io-net1453 ms via parasail
Highest measured throughputnot enough datanot enough data
Recent route uptime range50.00% to 100.00%50.00% to 100.00%
Modes chat chat

NVIDIA: Nemotron 3.5 Super VL routes

Qwen: Qwen3.5 397B A17B 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-super-vl",
    messages=messages,
)

Questions

Which should I use, NVIDIA: Nemotron 3.5 Super VL or Qwen: Qwen3.5 397B A17B?

NVIDIA: Nemotron 3.5 Super VL has the lower published input-plus-output rate, the larger context window and the lower measured p50 time to first token. Qwen: Qwen3.5 397B A17B has more Credits provider routes.

Is NVIDIA: Nemotron 3.5 Super VL or Qwen: Qwen3.5 397B A17B cheaper?

The current cheapest TrustedRouter route is $0.5275/1M for NVIDIA: Nemotron 3.5 Super VL and $3.63975/1M for Qwen: Qwen3.5 397B A17B. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA: Nemotron 3.5 Super VL or Qwen: Qwen3.5 397B A17B faster?

Current measured p50 time to first token is 1400 ms for NVIDIA: Nemotron 3.5 Super VL and 1453 ms for Qwen: Qwen3.5 397B A17B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test NVIDIA: Nemotron 3.5 Super VL and Qwen: Qwen3.5 397B A17B 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-super-vl and qwen/qwen3.5-397b-a17b. This makes side-by-side evals possible without maintaining two provider integrations.

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