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NVIDIA: Nemotron 3.5 Lightning vs Z.ai: GLM 5.2

Try both on us. Starter credit covers your first requests, then one key routes Nemotron 3.5 Lightning 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 Lightning 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.

$0.223309/1MNVIDIA: Nemotron 3.5 Lightning cheapest route
$2.2999/1MZ.ai: GLM 5.2 cheapest route
808 msNVIDIA: Nemotron 3.5 Lightning fastest measured p50 TTFT via fireworks
586 msZ.ai: GLM 5.2 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 3.5 LightningZ.ai: GLM 5.2
Model idnvidia/nemotron-3.5-lightningz-ai/glm-5.2
PublisherNVIDIA Z.AI
AI IQ — IQ 118#53
Context262,144 tokens1,048,576 tokens
Credits provider routes332
Cheapest route$0.223309/1M$2.2999/1M
Cached input$0.01055/1M to $0.03165/1M$0.131875/1M to $0.84611/1M
Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT808 ms via fireworks586 ms via friendli
Highest measured throughputnot enough data211 tok/s via together
Recent route uptime range100.00%66.67% to 100.00%
Modes chat chat

NVIDIA: Nemotron 3.5 Lightning routes

Z.ai: GLM 5.2 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-3.5-lightning",
    messages=messages,
)

Questions

Which should I use, NVIDIA: Nemotron 3.5 Lightning or Z.ai: GLM 5.2?

NVIDIA: Nemotron 3.5 Lightning 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 Lightning or Z.ai: GLM 5.2 cheaper?

The current cheapest TrustedRouter route is $0.223309/1M for NVIDIA: Nemotron 3.5 Lightning 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 Lightning or Z.ai: GLM 5.2 faster?

Current measured p50 time to first token is 808 ms for NVIDIA: Nemotron 3.5 Lightning and 586 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 Lightning 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 and z-ai/glm-5.2. This makes side-by-side evals possible without maintaining two provider integrations.

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