OpenAI compatible API · Attested · Public status

NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 vs Z.ai: GLM 5.3

NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 vs Z.ai: GLM 5.3: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

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-30B-A3B-BF16 has the lower cheapest prompt+completion route on TrustedRouter. Z.ai: GLM 5.3 has more provider fallback routes, while Z.ai: GLM 5.3 has the larger context window. Current TrustedRouter probes show Z.ai: GLM 5.3 with the lower p50 TTFT.

$0.26375/1MNVIDIA-Nemotron-3-Nano-30B-A3B-BF16 cheapest route
$4.2833/1MZ.ai: GLM 5.3 cheapest route
2543 msNVIDIA-Nemotron-3-Nano-30B-A3B-BF16 fastest measured p50 TTFT via nscale
1012 msZ.ai: GLM 5.3 fastest measured p50 TTFT via wafer

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-30B-A3B-BF16Z.ai: GLM 5.3
Model idnvidia/nemotron-3-nano-30b-a3b-bf16z-ai/glm-5.3
AI IQ IQ 123#18
Context256,000 tokens1,048,576 tokens
Credits provider routes127
Cheapest route$0.26375/1M$4.2833/1M
Cached inputNot published$0.1477/1M to $1.02546/1M
Privacy postureprovider posture varieshas provider E2EE route
Fastest measured p50 TTFT2543 ms via nscale1012 ms via wafer
Highest measured throughputnot enough data92 tok/s via zero-g
Recent route uptime range100.00%0.00% to 100.00%
Modes chat chat

NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 routes

Z.ai: GLM 5.3 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-nano-30b-a3b-bf16",
    messages=messages,
)

Questions

Which should I use, NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 or Z.ai: GLM 5.3?

NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 has the lower cheapest prompt+completion route on TrustedRouter. Z.ai: GLM 5.3 has more provider fallback routes, while Z.ai: GLM 5.3 has the larger context window. Current TrustedRouter probes show Z.ai: GLM 5.3 with the lower p50 TTFT.

Is NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 or Z.ai: GLM 5.3 cheaper?

The current cheapest TrustedRouter route is $0.26375/1M for NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 and $4.2833/1M for Z.ai: GLM 5.3. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 or Z.ai: GLM 5.3 faster?

Current measured p50 time to first token is 2543 ms for NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 and 1012 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-30B-A3B-BF16 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-30b-a3b-bf16 and z-ai/glm-5.3. This makes side-by-side evals possible without maintaining two provider integrations.

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