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MoonshotAI: Kimi K2 Thinking vs Z.ai: GLM 4.7

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2 Thinking and GLM 4.7. 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 Thinking has the larger context window. Z.ai: GLM 4.7 has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

$3.2705/1MMoonshotAI: Kimi K2 Thinking cheapest route

$2.26825/1MZ.ai: GLM 4.7 cheapest route

not enough dataMoonshotAI: Kimi K2 Thinking fastest measured p50 TTFT

6275 msZ.ai: GLM 4.7 fastest measured p50 TTFT via zai

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 ThinkingZ.ai: GLM 4.7

Model idmoonshotai/kimi-k2-thinkingz-ai/glm-4.7

Publisher Kimi Z.AI

AI IQ IQ 92#152 IQ 104#99

Context262,144 tokens202,752 tokens

Credits provider routes37

Cheapest route$3.2705/1M$2.26825/1M

Cached input$0.15825/1M to $0.3165/1M$0.0844/1M to $0.29962/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFTnot enough data6275 ms via zai

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

MoonshotAI: Kimi K2 Thinking routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Z.ai: GLM 4.7 routes

Overview7 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-thinking",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2 Thinking or Z.ai: GLM 4.7?

Is MoonshotAI: Kimi K2 Thinking or Z.ai: GLM 4.7 cheaper?

The current cheapest TrustedRouter route is $3.2705/1M for MoonshotAI: Kimi K2 Thinking and $2.26825/1M for Z.ai: GLM 4.7. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2 Thinking or Z.ai: GLM 4.7 faster?

Current measured p50 time to first token is not enough data for MoonshotAI: Kimi K2 Thinking and 6275 ms for Z.ai: GLM 4.7. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2 Thinking and Z.ai: GLM 4.7 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-thinking and z-ai/glm-4.7. This makes side-by-side evals possible without maintaining two provider integrations.