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NVIDIA: Nemotron 3.5 Super VL vs Z.ai: GLM 5.2

Try both on us. Starter credit covers your first requests, then one key routes Nemotron 3.5 Super VL and GLM 5.2. 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 5.2 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

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

$2.2999/1MZ.ai: GLM 5.2 cheapest route

1208 msNVIDIA: Nemotron 3.5 Super VL fastest measured p50 TTFT via crusoe

1028 msZ.ai: GLM 5.2 fastest measured p50 TTFT via digitalocean

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 5.2

Model idnvidia/nemotron-3.5-super-vlz-ai/glm-5.2

PublisherNVIDIA Z.AI

AI IQ IQ 106#95 IQ 118#50

Context262,144 tokens1,048,576 tokens

Credits provider routes232

Cheapest route$0.5275/1M$2.2999/1M

Cached input$0.0844/1M$0.131875/1M to $0.84611/1M

Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT1208 ms via crusoe1028 ms via digitalocean

Highest measured throughputnot enough data284 tok/s via telnyx

Recent route uptime range100.00%66.67% to 100.00%

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 5.2 routes

Overview32 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
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.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 5.2?

NVIDIA: Nemotron 3.5 Super VL has the lower published input-plus-output rate. Z.ai: GLM 5.2 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is NVIDIA: Nemotron 3.5 Super VL or Z.ai: GLM 5.2 cheaper?

The current cheapest TrustedRouter route is $0.5275/1M for NVIDIA: Nemotron 3.5 Super VL and $2.2999/1M for Z.ai: GLM 5.2. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA: Nemotron 3.5 Super VL or Z.ai: GLM 5.2 faster?

Current measured p50 time to first token is 1208 ms for NVIDIA: Nemotron 3.5 Super VL and 1028 ms for Z.ai: GLM 5.2. 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 5.2 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-5.2. This makes side-by-side evals possible without maintaining two provider integrations.