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MoonshotAI: Kimi K2.6 vs ShengShu Vidu Q3

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2.6 and ShengShu Vidu Q3. 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 K2.6 has more Credits provider routes and the larger context window. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.

$2.532/1MMoonshotAI: Kimi K2.6 cheapest route

selected routeShengShu Vidu Q3 cheapest route

1147 msMoonshotAI: Kimi K2.6 fastest measured p50 TTFT via azure

not enough dataShengShu Vidu Q3 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 K2.6ShengShu Vidu Q3

Model idmoonshotai/kimi-k2.6shengshu/vidu-q3

Publisher Kimi ShengShu

AI IQ IQ 114#59 —

Context262,144 tokens2,500 tokens

Credits provider routes171

Cheapest route$2.532/1Mselected route

Cached input$0.047475/1M to $0.422/1MNot published

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

Fastest measured p50 TTFT1147 ms via azurenot enough data

Highest measured throughput114 tok/s via azurenot enough data

Recent route uptime range100.00%not enough data

Modes chat

MoonshotAI: Kimi K2.6 routes

Overview17 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

ShengShu Vidu Q3 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.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="moonshotai/kimi-k2.6",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2.6 or ShengShu Vidu Q3?

Is MoonshotAI: Kimi K2.6 or ShengShu Vidu Q3 cheaper?

The current cheapest TrustedRouter route is $2.532/1M for MoonshotAI: Kimi K2.6 and selected route for ShengShu Vidu Q3. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.6 or ShengShu Vidu Q3 faster?

Current measured p50 time to first token is 1147 ms for MoonshotAI: Kimi K2.6 and not enough data for ShengShu Vidu Q3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.6 and ShengShu Vidu Q3 with the same API?

Both use the same TrustedRouter base URL and API key. At least one of them is not a chat model, so the request can differ as well as the model id: the API docs list the route for each kind of model.