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moonshotai/Kimi-K2-Instruct-0905 vs Z.ai: GLM 5.3

Try both on us. Starter credit covers your first requests, then one key routes moonshotai/Kimi-K2-Instruct-0905 and GLM 5.3. 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

moonshotai/Kimi-K2-Instruct-0905 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.

$3.02785/1Mmoonshotai/Kimi-K2-Instruct-0905 cheapest route

$3.458818/1MZ.ai: GLM 5.3 cheapest route

not enough datamoonshotai/Kimi-K2-Instruct-0905 fastest measured p50 TTFT

1068 msZ.ai: GLM 5.3 fastest measured p50 TTFT via thinkingmachines

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.

moonshotai/Kimi-K2-Instruct-0905Z.ai: GLM 5.3

Model idmoonshotai/kimi-k2-instruct-0905z-ai/glm-5.3

Publisher Kimi Z.AI

AI IQ — IQ 124#28

Context262,144 tokens1,048,576 tokens

Credits provider routes133

Cheapest route$3.02785/1M$3.458818/1M

Cached input$0.300675/1M$0.1055/1M to $0.84189/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFTnot enough data1068 ms via thinkingmachines

Highest measured throughputnot enough data196 tok/s via thinkingmachines

Recent route uptime rangenot enough data85.71% to 100.00%

Modes chat chat

moonshotai/Kimi-K2-Instruct-0905 routes

Overview1 Credits routes

Z.ai: GLM 5.3 routes

Overview33 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="moonshotai/kimi-k2-instruct-0905",
    messages=messages,
)

Questions

Which should I use, moonshotai/Kimi-K2-Instruct-0905 or Z.ai: GLM 5.3?

Is moonshotai/Kimi-K2-Instruct-0905 or Z.ai: GLM 5.3 cheaper?

The current cheapest TrustedRouter route is $3.02785/1M for moonshotai/Kimi-K2-Instruct-0905 and $3.458818/1M for Z.ai: GLM 5.3. The comparison uses current catalog prices and updates as provider pricing changes.

Is moonshotai/Kimi-K2-Instruct-0905 or Z.ai: GLM 5.3 faster?

Current measured p50 time to first token is not enough data for moonshotai/Kimi-K2-Instruct-0905 and 1068 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 moonshotai/Kimi-K2-Instruct-0905 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 moonshotai/kimi-k2-instruct-0905 and z-ai/glm-5.3. This makes side-by-side evals possible without maintaining two provider integrations.