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NVIDIA: Nemotron 3.5 Super VL vs Tencent: Hy4 preview

Try both on us. Starter credit covers your first requests, then one key routes Nemotron 3.5 Super VL and Hy4 preview. 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. Tencent: Hy4 preview has more Credits provider routes. Their context windows are the same size. There is not enough recent probe data to compare speed.

$0.5275/1MNVIDIA: Nemotron 3.5 Super VL cheapest route

$3.483242/1MTencent: Hy4 preview cheapest route

not enough dataNVIDIA: Nemotron 3.5 Super VL fastest measured p50 TTFT

not enough dataTencent: Hy4 preview 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 Super VLTencent: Hy4 preview

Model idnvidia/nemotron-3.5-super-vltencent/hy4-preview

PublisherNVIDIA Tencent Cloud TokenHub

AI IQ IQ 105#100 IQ 112#70

Context1,048,576 tokens1,048,576 tokens

Credits provider routes45

Cheapest route$0.5275/1M$3.483242/1M

Cached input$0.0211/1M to $0.089675/1M$0.04431/1M to $0.435536/1M

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFTnot enough datanot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough datanot enough data

Modes chat chat

NVIDIA: Nemotron 3.5 Super VL routes

Overview4 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Tencent: Hy4 preview routes

Overview5 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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NVIDIA: Nemotron 3.5 Super VL vs Z.ai: GLM 5.337 combined provider routes
Tencent: Hy4 preview vs Z.ai: GLM 5.3 Flash37 combined provider routes
NVIDIA: Nemotron 3.5 Super VL vs Z.ai: GLM 5.3 Flash36 combined provider routes
MoonshotAI: Kimi K3 vs Tencent: Hy4 preview33 combined provider routes
MoonshotAI: Kimi K3 vs NVIDIA: Nemotron 3.5 Super VL32 combined provider routes

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-aws.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 Tencent: Hy4 preview?

Is NVIDIA: Nemotron 3.5 Super VL or Tencent: Hy4 preview cheaper?

The current cheapest TrustedRouter route is $0.5275/1M for NVIDIA: Nemotron 3.5 Super VL and $3.483242/1M for Tencent: Hy4 preview. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA: Nemotron 3.5 Super VL or Tencent: Hy4 preview faster?

Current measured p50 time to first token is not enough data for NVIDIA: Nemotron 3.5 Super VL and not enough data for Tencent: Hy4 preview. 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 Tencent: Hy4 preview 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 tencent/hy4-preview. This makes side-by-side evals possible without maintaining two provider integrations.