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OpenAI compatible API · Attested · Public status

Z.ai: GLM 5 Turbo vs Z.ai: GLM 5.1

Z.ai: GLM 5.1 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. Compare price, speed, context, and privacy.

Verify gateway
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
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 5.1 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.

$5.486/1MZ.ai: GLM 5 Turbo cheapest route
$4.2833/1MZ.ai: GLM 5.1 cheapest route
not enough dataZ.ai: GLM 5 Turbo fastest measured p50 TTFT
1175 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.

Z.ai: GLM 5 TurboZ.ai: GLM 5.1
Model idz-ai/glm-5-turboz-ai/glm-5.1
Publisher Z.AI Z.AI
AI IQ — IQ 113#59
Context202,752 tokens202,752 tokens
Credits provider routes113
Cheapest route$5.486/1M$4.2833/1M
Cached input$0.2532/1M$0.10339/1M to $0.690456/1M
Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFTnot enough data1175 ms via friendli
Highest measured throughputnot enough datanot enough data
Recent route uptime rangenot enough data0.00% to 100.00%
Modes chat chat

Z.ai: GLM 5 Turbo routes

Z.ai: GLM 5.1 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="z-ai/glm-5-turbo",
    messages=messages,
)

Questions

Which should I use, Z.ai: GLM 5 Turbo or Z.ai: GLM 5.1?

Z.ai: GLM 5.1 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 Turbo or Z.ai: GLM 5.1 cheaper?

The current cheapest TrustedRouter route is $5.486/1M for Z.ai: GLM 5 Turbo and $4.2833/1M for Z.ai: GLM 5.1. The comparison uses current catalog prices and updates as provider pricing changes.

Is Z.ai: GLM 5 Turbo or Z.ai: GLM 5.1 faster?

Current measured p50 time to first token is not enough data for Z.ai: GLM 5 Turbo and 1175 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 Z.ai: GLM 5 Turbo 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 z-ai/glm-5-turbo and z-ai/glm-5.1. This makes side-by-side evals possible without maintaining two provider integrations.

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