OpenAI compatible API · Attested · Public status

moonshotai/Kimi: K2.7-Code-Highspeed vs Qwen: Qwen3.8 27B

moonshotai/Kimi: K2.7-Code-Highspeed vs Qwen: Qwen3.8 27B: 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

Qwen: Qwen3.8 27B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

$10.4445/1Mmoonshotai/Kimi: K2.7-Code-Highspeed cheapest route
$0.385075/1MQwen: Qwen3.8 27B cheapest route
1453 msmoonshotai/Kimi: K2.7-Code-Highspeed fastest measured p50 TTFT via kimi
891 msQwen: Qwen3.8 27B fastest measured p50 TTFT via cerebras

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-Code-HighspeedQwen: Qwen3.8 27B
Model idmoonshotai/kimi-k2.7-code-highspeedqwen/qwen3.8-27b
AI IQ — IQ 114#54
Context262,144 tokens262,144 tokens
Credits provider routes115
Cheapest route$10.4445/1M$0.385075/1M
Cached input$0.4009/1M$0.015825/1M to $0.181988/1M
Privacy postureprovider posture varieshas ZDR route
Fastest measured p50 TTFT1453 ms via kimi891 ms via cerebras
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

moonshotai/Kimi: K2.7-Code-Highspeed routes

Qwen: Qwen3.8 27B 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-highspeed",
    messages=messages,
)

Questions

Which should I use, moonshotai/Kimi: K2.7-Code-Highspeed or Qwen: Qwen3.8 27B?

Qwen: Qwen3.8 27B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

Is moonshotai/Kimi: K2.7-Code-Highspeed or Qwen: Qwen3.8 27B cheaper?

The current cheapest TrustedRouter route is $10.4445/1M for moonshotai/Kimi: K2.7-Code-Highspeed and $0.385075/1M for Qwen: Qwen3.8 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is moonshotai/Kimi: K2.7-Code-Highspeed or Qwen: Qwen3.8 27B faster?

Current measured p50 time to first token is 1453 ms for moonshotai/Kimi: K2.7-Code-Highspeed and 891 ms for Qwen: Qwen3.8 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test moonshotai/Kimi: K2.7-Code-Highspeed and Qwen: Qwen3.8 27B 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-highspeed and qwen/qwen3.8-27b. This makes side-by-side evals possible without maintaining two provider integrations.

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