OpenAI compatible API · Attested · Public status

nvidia/nemotron-3-nano-omni-30b-a3b-reasoning vs Z.ai: GLM 5.3

nvidia/nemotron-3-nano-omni-30b-a3b-reasoning has the lower measured p50 time to first token. Z.ai: GLM 5.3 has the lower published input-plus-output rate and more Credits provider routes. Compare price, speed, context, and privacy.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

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-nano-omni-30b-a3b-reasoning has the lower measured p50 time to first token. Z.ai: GLM 5.3 has the lower published input-plus-output rate and more Credits provider routes.

$12.66/1Mnvidia/nemotron-3-nano-omni-30b-a3b-reasoning cheapest route

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

557 msnvidia/nemotron-3-nano-omni-30b-a3b-reasoning fastest measured p50 TTFT via nvidia-nim

973 msZ.ai: GLM 5.3 fastest measured p50 TTFT via friendli

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-nano-omni-30b-a3b-reasoningZ.ai: GLM 5.3

Model idnvidia/nemotron-3-nano-omni-30b-a3b-reasoningz-ai/glm-5.3

PublisherNVIDIA Z.AI

AI IQ — IQ 125#24

Context0 tokens1,048,576 tokens

Credits provider routes133

Cheapest route$12.66/1M$3.458818/1M

Cached inputNot published$0.1055/1M to $0.87565/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT557 ms via nvidia-nim973 ms via friendli

Highest measured throughputnot enough data236 tok/s via inceptron

Recent route uptime range100.00%0.00% to 100.00%

Modes chat chat

nvidia/nemotron-3-nano-omni-30b-a3b-reasoning routes

Overview1 Credits routes

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.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="nvidia/nemotron-3-nano-omni-30b-a3b-reasoning",
    messages=messages,
)

Questions

Which should I use, nvidia/nemotron-3-nano-omni-30b-a3b-reasoning or Z.ai: GLM 5.3?

nvidia/nemotron-3-nano-omni-30b-a3b-reasoning has the lower measured p50 time to first token. Z.ai: GLM 5.3 has the lower published input-plus-output rate and more Credits provider routes.

Is nvidia/nemotron-3-nano-omni-30b-a3b-reasoning or Z.ai: GLM 5.3 cheaper?

The current cheapest TrustedRouter route is $12.66/1M for nvidia/nemotron-3-nano-omni-30b-a3b-reasoning 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-nano-omni-30b-a3b-reasoning or Z.ai: GLM 5.3 faster?

Current measured p50 time to first token is 557 ms for nvidia/nemotron-3-nano-omni-30b-a3b-reasoning and 973 ms 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-nano-omni-30b-a3b-reasoning 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-nano-omni-30b-a3b-reasoning and z-ai/glm-5.3. This makes side-by-side evals possible without maintaining two provider integrations.