NVIDIA: Nemotron 3.5 Lightning vs Z.ai: GLM 5
Try both on us. Starter credit covers your first requests, then one key routes Nemotron 3.5 Lightning and GLM 5. Switch by changing the model name.
Practical read
Monthly evidenceNVIDIA: Nemotron 3.5 Lightning has the lower published input-plus-output rate and the larger context window. Z.ai: GLM 5 has more Credits provider routes. There is not enough recent probe data to compare speed.
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
NVIDIA: Nemotron 3.5 Lightning routes
Z.ai: GLM 5 routes
- Overview8 Credits routes
- PricingInput, cached input, and output rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
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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.
client = OpenAI(
base_url="https://api-azure.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?
NVIDIA: Nemotron 3.5 Lightning has the lower published input-plus-output rate and the larger context window. Z.ai: GLM 5 has more Credits provider routes. There is not enough recent probe data to compare speed.
Is NVIDIA: Nemotron 3.5 Lightning or Z.ai: GLM 5 cheaper?
The current cheapest TrustedRouter route is $0.223309/1M for NVIDIA: Nemotron 3.5 Lightning and $3.6925/1M for Z.ai: GLM 5. The comparison uses current catalog prices and updates as provider pricing changes.
Is NVIDIA: Nemotron 3.5 Lightning or Z.ai: GLM 5 faster?
Current measured p50 time to first token is not enough data for NVIDIA: Nemotron 3.5 Lightning and not enough data for Z.ai: GLM 5. 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 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. This makes side-by-side evals possible without maintaining two provider integrations.