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MoonshotAI: Kimi K3 vs Grounded Document QA

Try both on us. Starter credit covers your first requests, then one key routes Kimi K3 and Grounded Document QA. 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 K3 has more Credits provider routes and the larger context window. Grounded Document QA has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

$11.97425/1MMoonshotAI: Kimi K3 cheapest route

$0.11605/1MGrounded Document QA cheapest route

not enough dataMoonshotAI: Kimi K3 fastest measured p50 TTFT

not enough dataGrounded Document QA fastest measured p50 TTFT

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 K3Grounded Document QA

Model idmoonshotai/kimi-k3neurometric/grounded-document-qa

Publisher Kimi Neurometric AI

AI IQ IQ 127#21 —

Context1,048,576 tokens49,152 tokens

Credits provider routes281

Cheapest route$11.97425/1M$0.11605/1M

Cached input$0.195175/1M to $1.897945/1MNot published

Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies

Fastest measured p50 TTFTnot enough datanot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough datanot enough data

Modes chat chat

MoonshotAI: Kimi K3 routes

Overview28 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Grounded Document QA routes

Overview1 Credits 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-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="moonshotai/kimi-k3",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K3 or Grounded Document QA?

Is MoonshotAI: Kimi K3 or Grounded Document QA cheaper?

The current cheapest TrustedRouter route is $11.97425/1M for MoonshotAI: Kimi K3 and $0.11605/1M for Grounded Document QA. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K3 or Grounded Document QA faster?

Current measured p50 time to first token is not enough data for MoonshotAI: Kimi K3 and not enough data for Grounded Document QA. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K3 and Grounded Document QA 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-k3 and neurometric/grounded-document-qa. This makes side-by-side evals possible without maintaining two provider integrations.