OpenAI compatible API · Attested · Public status

MoonshotAI: Kimi K2.7 Code vs Qwen3.8 Max

MoonshotAI: Kimi K2.7 Code vs Qwen3.8 Max: 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

MoonshotAI: Kimi K2.7 Code has the lower cheapest prompt+completion route on TrustedRouter. MoonshotAI: Kimi K2.7 Code has more provider fallback routes, while Qwen3.8 Max 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
$6.964055/1MQwen3.8 Max cheapest route
1229 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via siliconflow
1710 msQwen3.8 Max fastest measured p50 TTFT via fireworks

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 CodeQwen3.8 Max
Model idmoonshotai/kimi-k2.7-codeqwen/qwen3.8-max
Context262,144 tokens1,000,000 tokens
Credits provider routes134
Cheapest route$4.29385/1M$6.964055/1M
Cached input$0.15825/1M to $0.56548/1M$0.21733/1M to $0.26375/1M
Privacy posturehas ZDR routeprovider posture varies
Fastest measured p50 TTFT1229 ms via siliconflow1710 ms via fireworks
Highest measured throughput97 tok/s via fireworksnot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

MoonshotAI: Kimi K2.7 Code routes

Qwen3.8 Max 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 Qwen3.8 Max?

MoonshotAI: Kimi K2.7 Code has the lower cheapest prompt+completion route on TrustedRouter. MoonshotAI: Kimi K2.7 Code has more provider fallback routes, while Qwen3.8 Max 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 Qwen3.8 Max cheaper?

The current cheapest TrustedRouter route is $4.29385/1M for MoonshotAI: Kimi K2.7 Code and $6.964055/1M for Qwen3.8 Max. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.7 Code or Qwen3.8 Max faster?

Current measured p50 time to first token is 1229 ms for MoonshotAI: Kimi K2.7 Code and 1710 ms for Qwen3.8 Max. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.7 Code and Qwen3.8 Max 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/qwen3.8-max. This makes side-by-side evals possible without maintaining two provider integrations.

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