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OpenAI compatible API · Attested · Public status

moonshotai/Kimi-K2-Instruct-0905 vs Z.ai: GLM 5.1

moonshotai/Kimi-K2-Instruct-0905 vs Z.ai: GLM 5.1: 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

moonshotai/Kimi-K2-Instruct-0905 has the lower published input-plus-output rate and the larger context window. Z.ai: GLM 5.1 has more Credits provider routes. There is not enough recent probe data to compare speed.

$3.014135/1Mmoonshotai/Kimi-K2-Instruct-0905 cheapest route
$4.2833/1MZ.ai: GLM 5.1 cheapest route
not enough datamoonshotai/Kimi-K2-Instruct-0905 fastest measured p50 TTFT
529 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.

moonshotai/Kimi-K2-Instruct-0905Z.ai: GLM 5.1
Model idmoonshotai/kimi-k2-instruct-0905z-ai/glm-5.1
Publisher Kimi Z.AI
AI IQ — IQ 113#57
Context262,144 tokens202,752 tokens
Credits provider routes213
Cheapest route$3.014135/1M$4.2833/1M
Cached input$0.150865/1M to $0.300675/1M$0.10339/1M to $0.686805/1M
Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFTnot enough data529 ms via friendli
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%33.33% to 100.00%
Modes chat chat

moonshotai/Kimi-K2-Instruct-0905 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="moonshotai/kimi-k2-instruct-0905",
    messages=messages,
)

Questions

Which should I use, moonshotai/Kimi-K2-Instruct-0905 or Z.ai: GLM 5.1?

moonshotai/Kimi-K2-Instruct-0905 has the lower published input-plus-output rate and the larger context window. Z.ai: GLM 5.1 has more Credits provider routes. There is not enough recent probe data to compare speed.

Is moonshotai/Kimi-K2-Instruct-0905 or Z.ai: GLM 5.1 cheaper?

The current cheapest TrustedRouter route is $3.014135/1M for moonshotai/Kimi-K2-Instruct-0905 and $4.2833/1M for Z.ai: GLM 5.1. The comparison uses current catalog prices and updates as provider pricing changes.

Is moonshotai/Kimi-K2-Instruct-0905 or Z.ai: GLM 5.1 faster?

Current measured p50 time to first token is not enough data for moonshotai/Kimi-K2-Instruct-0905 and 529 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 moonshotai/Kimi-K2-Instruct-0905 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 moonshotai/kimi-k2-instruct-0905 and z-ai/glm-5.1. This makes side-by-side evals possible without maintaining two provider integrations.

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