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MoonshotAI: Kimi K2.7 Code vs Qwen: Qwen3 Next 80B A3B Instruct

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2.7 Code and Qwen3 Next 80B A3B Instruct. 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. Qwen: Qwen3 Next 80B A3B Instruct has the lower published input-plus-output rate and the lower measured p50 time to first token. Their context windows are the same size.

$4.173791/1MMoonshotAI: Kimi K2.7 Code cheapest route
$1.25545/1MQwen: Qwen3 Next 80B A3B Instruct cheapest route
1678 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via wandb
1276 msQwen: Qwen3 Next 80B A3B Instruct fastest measured p50 TTFT via databricks

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 Next 80B A3B Instruct
Model idmoonshotai/kimi-k2.7-codeqwen/qwen3-next-80b-a3b-instruct
AI IQ IQ 111#77 —
Context262,144 tokens262,144 tokens
Credits provider routes145
Cheapest route$4.173791/1M$1.25545/1M
Cached input$0.15825/1M to $0.546617/1M$0.062641/1M to $0.07385/1M
Privacy posturehas ZDR routehas ZDR route
Fastest measured p50 TTFT1678 ms via wandb1276 ms via databricks
Highest measured throughput167 tok/s via lyceumnot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

MoonshotAI: Kimi K2.7 Code routes

Qwen: Qwen3 Next 80B A3B Instruct 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 Next 80B A3B Instruct?

MoonshotAI: Kimi K2.7 Code has more Credits provider routes. Qwen: Qwen3 Next 80B A3B Instruct has the lower published input-plus-output rate and the lower measured p50 time to first token. Their context windows are the same size.

Is MoonshotAI: Kimi K2.7 Code or Qwen: Qwen3 Next 80B A3B Instruct cheaper?

The current cheapest TrustedRouter route is $4.173791/1M for MoonshotAI: Kimi K2.7 Code and $1.25545/1M for Qwen: Qwen3 Next 80B A3B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.7 Code or Qwen: Qwen3 Next 80B A3B Instruct faster?

Current measured p50 time to first token is 1678 ms for MoonshotAI: Kimi K2.7 Code and 1276 ms for Qwen: Qwen3 Next 80B A3B Instruct. 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 Next 80B A3B Instruct 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-next-80b-a3b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.

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