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MoonshotAI: Kimi K2.7 Code vs Tencent: Hy4 preview

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2.7 Code and Hy4 preview. 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 K2.7 Code has more Credits provider routes. Tencent: Hy4 preview has the lower published input-plus-output rate and the larger context window. There is not enough recent probe data to compare speed.

$4.173791/1MMoonshotAI: Kimi K2.7 Code cheapest route
$3.518425/1MTencent: Hy4 preview cheapest route
not enough dataMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT
not enough dataTencent: Hy4 preview 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 K2.7 CodeTencent: Hy4 preview
Model idmoonshotai/kimi-k2.7-codetencent/hy4-preview
Context262,144 tokens1,000,000 tokens
Credits provider routes144
Cheapest route$4.173791/1M$3.518425/1M
Cached input$0.15825/1M to $0.546617/1M$0.04431/1M
Privacy posturehas ZDR routeprovider 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 K2.7 Code routes

Tencent: Hy4 preview 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-k2.7-code",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2.7 Code or Tencent: Hy4 preview?

MoonshotAI: Kimi K2.7 Code has more Credits provider routes. Tencent: Hy4 preview has the lower published input-plus-output rate and the larger context window. There is not enough recent probe data to compare speed.

Is MoonshotAI: Kimi K2.7 Code or Tencent: Hy4 preview cheaper?

The current cheapest TrustedRouter route is $4.173791/1M for MoonshotAI: Kimi K2.7 Code and $3.518425/1M for Tencent: Hy4 preview. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.7 Code or Tencent: Hy4 preview faster?

Current measured p50 time to first token is not enough data for MoonshotAI: Kimi K2.7 Code and not enough data for Tencent: Hy4 preview. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.7 Code and Tencent: Hy4 preview 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 tencent/hy4-preview. This makes side-by-side evals possible without maintaining two provider integrations.

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