OpenAI compatible API · Attested · Public status

ibm-granite/granite-4.2-3b vs Z.ai: GLM 5.3

ibm-granite/granite-4.2-3b vs Z.ai: GLM 5.3: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

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

ibm-granite/granite-4.2-3b 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.

$0.15825/1Mibm-granite/granite-4.2-3b cheapest route

$4.2833/1MZ.ai: GLM 5.3 cheapest route

not enough dataibm-granite/granite-4.2-3b fastest measured p50 TTFT

1008 msZ.ai: GLM 5.3 fastest measured p50 TTFT via wafer

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.

ibm-granite/granite-4.2-3bZ.ai: GLM 5.3

Model idibm-granite/granite-4.2-3bz-ai/glm-5.3

Publisher DeepInfra Z.AI

AI IQ — IQ 123#17

Context131,072 tokens1,048,576 tokens

Credits provider routes126

Cheapest route$0.15825/1M$4.2833/1M

Cached input$0.01/1M$0.1477/1M to $1.02546/1M

Privacy postureprovider posture varieshas provider E2EE route

Fastest measured p50 TTFTnot enough data1008 ms via wafer

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough data25.00% to 100.00%

Modes chat chat

ibm-granite/granite-4.2-3b routes

Overview1 Credits routes

Z.ai: GLM 5.3 routes

Overview26 Credits routes
PricingInput, cached input, and output rates
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="ibm-granite/granite-4.2-3b",
    messages=messages,
)

Questions

Which should I use, ibm-granite/granite-4.2-3b or Z.ai: GLM 5.3?

Is ibm-granite/granite-4.2-3b or Z.ai: GLM 5.3 cheaper?

The current cheapest TrustedRouter route is $0.15825/1M for ibm-granite/granite-4.2-3b and $4.2833/1M for Z.ai: GLM 5.3. The comparison uses current catalog prices and updates as provider pricing changes.

Is ibm-granite/granite-4.2-3b or Z.ai: GLM 5.3 faster?

Current measured p50 time to first token is not enough data for ibm-granite/granite-4.2-3b and 1008 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 ibm-granite/granite-4.2-3b 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 ibm-granite/granite-4.2-3b and z-ai/glm-5.3. This makes side-by-side evals possible without maintaining two provider integrations.