OpenAI compatible API · Attested · Public status

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

MoonshotAI: Kimi K2.7 Code vs Qwen: Qwen3.5 397B A17B: 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: Qwen3.5 397B A17B has the lower cheapest prompt+completion route on TrustedRouter. MoonshotAI: Kimi K2.7 Code has more provider fallback routes, while MoonshotAI: Kimi K2.7 Code 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
$3.63975/1MQwen: Qwen3.5 397B A17B cheapest route
1263 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via fireworks
1597 msQwen: Qwen3.5 397B A17B fastest measured p50 TTFT via morph

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
AI IQ IQ 118#33
Context262,144 tokens262,144 tokens
Credits provider routes1310
Cheapest route$4.29385/1M$3.63975/1M
Cached input$0.15825/1M to $0.56548/1M$0.047475/1M to $0.58025/1M
Privacy posturehas ZDR routehas provider E2EE route
Fastest measured p50 TTFT1263 ms via fireworks1597 ms via morph
Highest measured throughput129 tok/s via io-netnot enough data
Recent route uptime range80.00% to 100.00%50.00% to 100.00%
Modes chat chat

MoonshotAI: Kimi K2.7 Code routes

Qwen: Qwen3.5 397B A17B 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 Qwen: Qwen3.5 397B A17B?

Qwen: Qwen3.5 397B A17B has the lower cheapest prompt+completion route on TrustedRouter. MoonshotAI: Kimi K2.7 Code has more provider fallback routes, while MoonshotAI: Kimi K2.7 Code 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 Qwen: Qwen3.5 397B A17B cheaper?

The current cheapest TrustedRouter route is $4.29385/1M 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 1263 ms for MoonshotAI: Kimi K2.7 Code and 1597 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.

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