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Kimi K2.8 Preview vs Z.ai: GLM 5.2

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2.8 Preview 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.

$5.275/1MKimi K2.8 Preview cheapest route

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

not enough dataKimi K2.8 Preview fastest measured p50 TTFT

943 msZ.ai: GLM 5.2 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.

Kimi K2.8 PreviewZ.ai: GLM 5.2

Model idmoonshotai/kimi-k2.8-previewz-ai/glm-5.2

Publisher Kimi Z.AI

AI IQ — IQ 118#48

Context1,048,576 tokens1,048,576 tokens

Credits provider routes132

Cheapest route$5.275/1M$2.2999/1M

Cached input$0.26375/1M$0.131875/1M to $0.84611/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFTnot enough data943 ms via friendli

Highest measured throughputnot enough data187 tok/s via venice

Recent route uptime range100.00%83.33% to 100.00%

Modes chat chat

Kimi K2.8 Preview routes

Overview1 Credits routes

Z.ai: GLM 5.2 routes

Overview32 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="moonshotai/kimi-k2.8-preview",
    messages=messages,
)

Questions

Which should I use, Kimi K2.8 Preview or Z.ai: 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 Kimi K2.8 Preview or Z.ai: GLM 5.2 cheaper?

The current cheapest TrustedRouter route is $5.275/1M for Kimi K2.8 Preview and $2.2999/1M for Z.ai: GLM 5.2. The comparison uses current catalog prices and updates as provider pricing changes.

Is Kimi K2.8 Preview or Z.ai: GLM 5.2 faster?

Current measured p50 time to first token is not enough data for Kimi K2.8 Preview and 943 ms for Z.ai: GLM 5.2. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Kimi K2.8 Preview and Z.ai: 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 moonshotai/kimi-k2.8-preview and z-ai/glm-5.2. This makes side-by-side evals possible without maintaining two provider integrations.