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MoonshotAI: Kimi K2.7 Code vs Qwen: Qwen3.5 397B A17B

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2.7 Code and Qwen3.5 397B A17B. 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 and the lower measured p50 time to first token. Qwen: Qwen3.5 397B A17B has the lower published input-plus-output rate. Their context windows are the same size.

$4.173791/1MMoonshotAI: Kimi K2.7 Code cheapest route

$3.63975/1MQwen: Qwen3.5 397B A17B cheapest route

1034 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via inceptron

1649 msQwen: Qwen3.5 397B A17B fastest measured p50 TTFT via scaleway

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 CodeQwen: Qwen3.5 397B A17B

Model idmoonshotai/kimi-k2.7-codeqwen/qwen3.5-397b-a17b

Publisher Kimi Alibaba Cloud Model Studio

AI IQ IQ 111#73 —

Context262,144 tokens262,144 tokens

Credits provider routes1411

Cheapest route$4.173791/1M$3.63975/1M

Cached input$0.15825/1M to $0.546617/1M$0.047475/1M to $0.58025/1M

Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT1034 ms via inceptron1649 ms via scaleway

Highest measured throughput155 tok/s via azurenot enough data

Recent route uptime range100.00%0.00% to 100.00%

Modes chat chat

MoonshotAI: Kimi K2.7 Code routes

Overview14 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Qwen: Qwen3.5 397B A17B routes

Overview11 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-k2.7-code",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2.7 Code or Qwen: Qwen3.5 397B A17B?

Is MoonshotAI: Kimi K2.7 Code or Qwen: Qwen3.5 397B A17B cheaper?

The current cheapest TrustedRouter route is $4.173791/1M for MoonshotAI: Kimi K2.7 Code and $3.63975/1M for Qwen: Qwen3.5 397B A17B. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.7 Code or Qwen: Qwen3.5 397B A17B faster?

Current measured p50 time to first token is 1034 ms for MoonshotAI: Kimi K2.7 Code and 1649 ms for Qwen: Qwen3.5 397B A17B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.7 Code and Qwen: Qwen3.5 397B A17B 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 qwen/qwen3.5-397b-a17b. This makes side-by-side evals possible without maintaining two provider integrations.