Free to start

nemotron-nano-12b-v2 vs Z.ai: GLM 5.3

Try both on us. Starter credit covers your first requests, then one key routes nemotron-nano-12b-v2 and GLM 5.3. 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

nemotron-nano-12b-v2 has the lower published input-plus-output rate. Z.ai: GLM 5.3 has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$0.844/1Mnemotron-nano-12b-v2 cheapest route

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

not enough datanemotron-nano-12b-v2 fastest measured p50 TTFT

1068 msZ.ai: GLM 5.3 fastest measured p50 TTFT via thinkingmachines

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.

nemotron-nano-12b-v2Z.ai: GLM 5.3

Model idnvidia/nemotron-nano-12b-v2z-ai/glm-5.3

PublisherNVIDIA Z.AI

AI IQ — IQ 124#28

Context4,096 tokens1,048,576 tokens

Credits provider routes133

Cheapest route$0.844/1M$3.458818/1M

Cached inputNot published$0.1055/1M to $0.84189/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFTnot enough data1068 ms via thinkingmachines

Highest measured throughputnot enough data196 tok/s via thinkingmachines

Recent route uptime rangenot enough data85.71% to 100.00%

Modes chat chat

nemotron-nano-12b-v2 routes

Overview1 Credits routes

Z.ai: GLM 5.3 routes

Overview33 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Related comparisons

Browse every comparison

Z.ai: GLM 5.2 vs Z.ai: GLM 5.365 combined provider routes
Z.ai: GLM 5.3 vs Z.ai: GLM 5.3 Flash65 combined provider routes
MoonshotAI: Kimi K3 vs Z.ai: GLM 5.361 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Z.ai: GLM 5.359 combined provider routes
DeepSeek: DeepSeek V4.1 Flash vs Z.ai: GLM 5.357 combined provider routes
OpenAI: gpt-oss-120b vs Z.ai: GLM 5.357 combined provider routes
Qwen: Qwen3.8 27B vs Z.ai: GLM 5.352 combined provider routes
MoonshotAI: Kimi K2.6 vs Z.ai: GLM 5.350 combined provider routes

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-nano-12b-v2",
    messages=messages,
)

Questions

Which should I use, nemotron-nano-12b-v2 or Z.ai: GLM 5.3?

Is nemotron-nano-12b-v2 or Z.ai: GLM 5.3 cheaper?

The current cheapest TrustedRouter route is $0.844/1M for nemotron-nano-12b-v2 and $3.458818/1M for Z.ai: GLM 5.3. The comparison uses current catalog prices and updates as provider pricing changes.

Is nemotron-nano-12b-v2 or Z.ai: GLM 5.3 faster?

Current measured p50 time to first token is not enough data for nemotron-nano-12b-v2 and 1068 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 nemotron-nano-12b-v2 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-nano-12b-v2 and z-ai/glm-5.3. This makes side-by-side evals possible without maintaining two provider integrations.