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NVIDIA: Nemotron 3.5 Super VL vs Z.ai: GLM 5.3 Flash

Try both on us. Starter credit covers your first requests, then one key routes Nemotron 3.5 Super VL and GLM 5.3 Flash. 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

Z.ai: GLM 5.3 Flash has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

$0.5275/1MNVIDIA: Nemotron 3.5 Super VL cheapest route
$0.26375/1MZ.ai: GLM 5.3 Flash cheapest route
1400 msNVIDIA: Nemotron 3.5 Super VL fastest measured p50 TTFT via io-net
632 msZ.ai: GLM 5.3 Flash fastest measured p50 TTFT via privatemode

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 VLZ.ai: GLM 5.3 Flash
Model idnvidia/nemotron-3.5-super-vlz-ai/glm-5.3-flash
PublisherNVIDIA Z.AI
Context1,048,576 tokens1,048,576 tokens
Credits provider routes432
Cheapest route$0.5275/1M$0.26375/1M
Cached input$0.0211/1M to $0.089675/1M$0.015825/1M to $0.079125/1M
Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT1400 ms via io-net632 ms via privatemode
Highest measured throughputnot enough datanot enough data
Recent route uptime range50.00% to 100.00%100.00%
Modes chat chat

NVIDIA: Nemotron 3.5 Super VL routes

Z.ai: GLM 5.3 Flash 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 Z.ai: GLM 5.3 Flash?

Z.ai: GLM 5.3 Flash has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

Is NVIDIA: Nemotron 3.5 Super VL or Z.ai: GLM 5.3 Flash cheaper?

The current cheapest TrustedRouter route is $0.5275/1M for NVIDIA: Nemotron 3.5 Super VL and $0.26375/1M for Z.ai: GLM 5.3 Flash. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA: Nemotron 3.5 Super VL or Z.ai: GLM 5.3 Flash faster?

Current measured p50 time to first token is 1400 ms for NVIDIA: Nemotron 3.5 Super VL and 632 ms for Z.ai: GLM 5.3 Flash. 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 Z.ai: GLM 5.3 Flash 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 z-ai/glm-5.3-flash. This makes side-by-side evals possible without maintaining two provider integrations.

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