OpenAI compatible API · Attested · Public status

MoonshotAI: Kimi K2.7 Code vs ScaleDown Classify

MoonshotAI: Kimi K2.7 Code vs ScaleDown Classify: 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

ScaleDown Classify has the lower cheapest prompt+completion route on TrustedRouter. MoonshotAI: Kimi K2.7 Code has more provider fallback routes, while ScaleDown Classify has the larger context window. Current TrustedRouter probes show MoonshotAI: Kimi K2.7 Code with the lower p50 TTFT.

$4.29385/1MMoonshotAI: Kimi K2.7 Code cheapest route
$0.05275/1MScaleDown Classify cheapest route
1203 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via fireworks
3797 msScaleDown Classify fastest measured p50 TTFT via scaledown

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 K2.7 CodeScaleDown Classify
Model idmoonshotai/kimi-k2.7-codescaledown/classify
AI IQ IQ 108#66
Context262,144 tokens1,000,000 tokens
Credits provider routes131
Cheapest route$4.29385/1M$0.05275/1M
Cached input$0.15825/1M to $0.465255/1MNot published
Privacy posturehas ZDR routehas ZDR route
Fastest measured p50 TTFT1203 ms via fireworks3797 ms via scaledown
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

MoonshotAI: Kimi K2.7 Code routes

ScaleDown Classify 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-k2.7-code",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2.7 Code or ScaleDown Classify?

ScaleDown Classify has the lower cheapest prompt+completion route on TrustedRouter. MoonshotAI: Kimi K2.7 Code has more provider fallback routes, while ScaleDown Classify has the larger context window. Current TrustedRouter probes show MoonshotAI: Kimi K2.7 Code with the lower p50 TTFT.

Is MoonshotAI: Kimi K2.7 Code or ScaleDown Classify cheaper?

The current cheapest TrustedRouter route is $4.29385/1M for MoonshotAI: Kimi K2.7 Code and $0.05275/1M for ScaleDown Classify. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.7 Code or ScaleDown Classify faster?

Current measured p50 time to first token is 1203 ms for MoonshotAI: Kimi K2.7 Code and 3797 ms for ScaleDown Classify. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.7 Code and ScaleDown Classify 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-k2.7-code and scaledown/classify. This makes side-by-side evals possible without maintaining two provider integrations.

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