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OpenAI compatible API · Attested · Public status

Macaron V1 Venti vs Z.ai: GLM 5.3

Z.ai: GLM 5.3 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 5.3 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.

$3.4815/1MMacaron V1 Venti cheapest route
$3.458818/1MZ.ai: GLM 5.3 cheapest route
not enough dataMacaron V1 Venti fastest measured p50 TTFT
771 msZ.ai: GLM 5.3 fastest measured p50 TTFT via fireworks

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.

Macaron V1 VentiZ.ai: GLM 5.3
Model idmindai/macaron-v1-ventiz-ai/glm-5.3
Publishermindai Z.AI
AI IQ — IQ 125#24
Context1,048,576 tokens1,048,576 tokens
Credits provider routes133
Cheapest route$3.4815/1M$3.458818/1M
Cached input$0.174075/1M$0.1055/1M to $0.96005/1M
Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFTnot enough data771 ms via fireworks
Highest measured throughputnot enough data203 tok/s via zro
Recent route uptime rangenot enough data95.45% to 100.00%
Modes chat chat

Macaron V1 Venti routes

Z.ai: GLM 5.3 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="mindai/macaron-v1-venti",
    messages=messages,
)

Questions

Which should I use, Macaron V1 Venti or Z.ai: GLM 5.3?

Z.ai: GLM 5.3 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 Macaron V1 Venti or Z.ai: GLM 5.3 cheaper?

The current cheapest TrustedRouter route is $3.4815/1M for Macaron V1 Venti and $3.458818/1M for Z.ai: GLM 5.3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Macaron V1 Venti or Z.ai: GLM 5.3 faster?

Current measured p50 time to first token is not enough data for Macaron V1 Venti and 771 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 Macaron V1 Venti 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 mindai/macaron-v1-venti and z-ai/glm-5.3. This makes side-by-side evals possible without maintaining two provider integrations.

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