OpenAI compatible API · Attested · Public status

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 vs Z.ai: GLM 5.2

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 vs Z.ai: GLM 5.2: 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/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 has the lower cheapest prompt+completion route on TrustedRouter. Z.ai: GLM 5.2 has more provider fallback routes, while Z.ai: GLM 5.2 has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$1.21325/1Mnvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 cheapest route
$2.2999/1MZ.ai: GLM 5.2 cheapest route
not enough datanvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 fastest measured p50 TTFT
899 msZ.ai: GLM 5.2 fastest measured p50 TTFT via fireworks

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/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16Z.ai: GLM 5.2
Model idnvidia/nemotron-3.5-lightning-30b-a3b-bf16z-ai/glm-5.2
AI IQ IQ 120#27
Context65,536 tokens1,048,576 tokens
Credits provider routes031
Cheapest route$1.21325/1M$2.2999/1M
Cached inputNot published$0.110775/1M to $0.81868/1M
Privacy postureprovider posture varieshas provider E2EE route
Fastest measured p50 TTFTnot enough data899 ms via fireworks
Highest measured throughputnot enough data48 tok/s via alibaba
Recent route uptime rangenot enough data0.00% to 100.00%
Modes chat chat

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 routes

Z.ai: GLM 5.2 routes

Related comparisons

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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-lightning-30b-a3b-bf16",
    messages=messages,
)

Questions

Which should I use, nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 or Z.ai: GLM 5.2?

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 has the lower cheapest prompt+completion route on TrustedRouter. Z.ai: GLM 5.2 has more provider fallback routes, while Z.ai: GLM 5.2 has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

Is nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 or Z.ai: GLM 5.2 cheaper?

The current cheapest TrustedRouter route is $1.21325/1M for nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 and $2.2999/1M for Z.ai: GLM 5.2. The comparison uses current catalog prices and updates as provider pricing changes.

Is nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 or Z.ai: GLM 5.2 faster?

Current measured p50 time to first token is not enough data for nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 and 899 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/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 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-lightning-30b-a3b-bf16 and z-ai/glm-5.2. This makes side-by-side evals possible without maintaining two provider integrations.

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