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google/gemma-4-12B-it vs Z.ai: GLM 5.1

Try both on us. Starter credit covers your first requests, then one key routes google/gemma-4-12B-it and GLM 5.1. 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

google/gemma-4-12B-it has the lower published input-plus-output rate and the lower measured p50 time to first token. Z.ai: GLM 5.1 has more Credits provider routes.

$0.13715/1Mgoogle/gemma-4-12B-it cheapest route

$4.2833/1MZ.ai: GLM 5.1 cheapest route

739 msgoogle/gemma-4-12B-it fastest measured p50 TTFT via neurometric

854 msZ.ai: GLM 5.1 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.

google/gemma-4-12B-itZ.ai: GLM 5.1

Model idgoogle/gemma-4-12b-itz-ai/glm-5.1

Publisher Google AI Studio Z.AI

AI IQ IQ 95#141 IQ 113#62

Context0 tokens202,752 tokens

Credits provider routes313

Cheapest route$0.13715/1M$4.2833/1M

Cached input$0.15825/1M$0.10339/1M to $0.738648/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT739 ms via neurometric854 ms via friendli

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

google/gemma-4-12B-it routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Z.ai: GLM 5.1 routes

Overview13 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

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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="google/gemma-4-12b-it",
    messages=messages,
)

Questions

Which should I use, google/gemma-4-12B-it or Z.ai: GLM 5.1?

google/gemma-4-12B-it has the lower published input-plus-output rate and the lower measured p50 time to first token. Z.ai: GLM 5.1 has more Credits provider routes.

Is google/gemma-4-12B-it or Z.ai: GLM 5.1 cheaper?

The current cheapest TrustedRouter route is $0.13715/1M for google/gemma-4-12B-it and $4.2833/1M for Z.ai: GLM 5.1. The comparison uses current catalog prices and updates as provider pricing changes.

Is google/gemma-4-12B-it or Z.ai: GLM 5.1 faster?

Current measured p50 time to first token is 739 ms for google/gemma-4-12B-it and 854 ms for Z.ai: GLM 5.1. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test google/gemma-4-12B-it and Z.ai: GLM 5.1 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between google/gemma-4-12b-it and z-ai/glm-5.1. This makes side-by-side evals possible without maintaining two provider integrations.