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Z.ai: GLM 5.2 vs GLM-5.2

Try both on us. Starter credit covers your first requests, then one key routes GLM 5.2 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

Z.ai: GLM 5.2 has the lower published input-plus-output rate and more Credits provider routes. Their context windows are the same size. There is not enough recent probe data to compare speed.

$2.2999/1MZ.ai: GLM 5.2 cheapest route

$6.119/1MGLM-5.2 cheapest route

not enough dataZ.ai: GLM 5.2 fastest measured p50 TTFT

not enough dataGLM-5.2 fastest measured p50 TTFT

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.

Z.ai: GLM 5.2GLM-5.2

Model idz-ai/glm-5.2zai-org/GLM-5.2

Publisher Z.AI Z.AI

AI IQ IQ 118#48 IQ 118#48

Context1,048,576 tokens1,048,576 tokens

Credits provider routes321

Cheapest route$2.2999/1M$6.119/1M

Cached input$0.131875/1M to $0.84611/1MNot published

Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route

Fastest measured p50 TTFTnot enough datanot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough datanot enough data

Modes chat chat

Z.ai: GLM 5.2 routes

Overview32 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

GLM-5.2 routes

Overview1 Credits 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-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="z-ai/glm-5.2",
    messages=messages,
)

Questions

Which should I use, Z.ai: GLM 5.2 or GLM-5.2?

Z.ai: GLM 5.2 has the lower published input-plus-output rate and more Credits provider routes. Their context windows are the same size. There is not enough recent probe data to compare speed.

Is Z.ai: GLM 5.2 or GLM-5.2 cheaper?

The current cheapest TrustedRouter route is $2.2999/1M for Z.ai: GLM 5.2 and $6.119/1M for GLM-5.2. The comparison uses current catalog prices and updates as provider pricing changes.

Is Z.ai: GLM 5.2 or GLM-5.2 faster?

Current measured p50 time to first token is not enough data for Z.ai: GLM 5.2 and not enough data for GLM-5.2. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Z.ai: GLM 5.2 and 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 z-ai/glm-5.2 and zai-org/GLM-5.2. This makes side-by-side evals possible without maintaining two provider integrations.