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

Try both on us. Starter credit covers your first requests, then one key routes Nemotron 3.5 Super VL and GLM 5.3. 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. Z.ai: GLM 5.3 has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

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

$3.458818/1MZ.ai: GLM 5.3 cheapest route

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

not enough dataZ.ai: GLM 5.3 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 VLZ.ai: GLM 5.3

Model idnvidia/nemotron-3.5-super-vlz-ai/glm-5.3

PublisherNVIDIA Z.AI

AI IQ IQ 108#86 IQ 124#28

Context262,144 tokens1,048,576 tokens

Credits provider routes233

Cheapest route$0.5275/1M$3.458818/1M

Cached input$0.0844/1M$0.1055/1M to $0.84189/1M

Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)

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

Overview2 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Z.ai: GLM 5.3 routes

Overview33 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-azure.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?

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

The current cheapest TrustedRouter route is $0.5275/1M for NVIDIA: Nemotron 3.5 Super VL and $3.458818/1M for Z.ai: GLM 5.3. 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 faster?

Current measured p50 time to first token is not enough data for NVIDIA: Nemotron 3.5 Super VL and not enough data for Z.ai: GLM 5.3. 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 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. This makes side-by-side evals possible without maintaining two provider integrations.