OpenAI compatible API · Attested · Public status

Kimi K2 Instruct vs Qwen: Qwen3.8 27B

Kimi K2 Instruct 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 cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3.8 27B has more provider fallback routes, while Qwen: Qwen3.8 27B has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$3.02785/1MKimi K2 Instruct cheapest route

$0.385075/1MQwen: Qwen3.8 27B cheapest route

not enough dataKimi K2 Instruct fastest measured p50 TTFT

1220 msQwen: Qwen3.8 27B fastest measured p50 TTFT via cerebras

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.

Kimi K2 InstructQwen: Qwen3.8 27B

Model idmoonshotai/kimi-k2-instructqwen/qwen3.8-27b

Publisher Kimi DeepInfra

AI IQ IQ 91#116 IQ 110#60

Context131,072 tokens262,144 tokens

Credits provider routes113

Cheapest route$3.02785/1M$0.385075/1M

Cached inputNot published$0.015825/1M to $0.16247/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFTnot enough data1220 ms via cerebras

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough data100.00%

Modes chat chat

Kimi K2 Instruct routes

Overview1 Credits routes

Qwen: Qwen3.8 27B routes

Overview13 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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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-instruct",
    messages=messages,
)

Questions

Which should I use, Kimi K2 Instruct or Qwen: Qwen3.8 27B?

Is Kimi K2 Instruct or Qwen: Qwen3.8 27B cheaper?

The current cheapest TrustedRouter route is $3.02785/1M for Kimi K2 Instruct and $0.385075/1M for Qwen: Qwen3.8 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Kimi K2 Instruct or Qwen: Qwen3.8 27B faster?

Current measured p50 time to first token is not enough data for Kimi K2 Instruct and 1220 ms for Qwen: Qwen3.8 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Kimi K2 Instruct 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-instruct and qwen/qwen3.8-27b. This makes side-by-side evals possible without maintaining two provider integrations.