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Qwen: Qwen3 Next 80B A3B Instruct vs Qwen: Qwen3.5 397B A17B

Try both on us. Starter credit covers your first requests, then one key routes Qwen3 Next 80B A3B Instruct 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

Qwen: Qwen3 Next 80B A3B Instruct has the lower published input-plus-output rate. Qwen: Qwen3.5 397B A17B has more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

$1.25545/1MQwen: Qwen3 Next 80B A3B Instruct cheapest route
$3.63975/1MQwen: Qwen3.5 397B A17B cheapest route
1276 msQwen: Qwen3 Next 80B A3B Instruct fastest measured p50 TTFT via databricks
925 msQwen: Qwen3.5 397B A17B fastest measured p50 TTFT via parasail

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.

Qwen: Qwen3 Next 80B A3B InstructQwen: Qwen3.5 397B A17B
Model idqwen/qwen3-next-80b-a3b-instructqwen/qwen3.5-397b-a17b
AI IQ — —
Context262,144 tokens262,144 tokens
Credits provider routes511
Cheapest route$1.25545/1M$3.63975/1M
Cached input$0.062641/1M to $0.07385/1M$0.047475/1M to $0.58025/1M
Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT1276 ms via databricks925 ms via parasail
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

Qwen: Qwen3 Next 80B A3B Instruct 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="qwen/qwen3-next-80b-a3b-instruct",
    messages=messages,
)

Questions

Which should I use, Qwen: Qwen3 Next 80B A3B Instruct or Qwen: Qwen3.5 397B A17B?

Qwen: Qwen3 Next 80B A3B Instruct has the lower published input-plus-output rate. Qwen: Qwen3.5 397B A17B has more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

Is Qwen: Qwen3 Next 80B A3B Instruct or Qwen: Qwen3.5 397B A17B cheaper?

The current cheapest TrustedRouter route is $1.25545/1M for Qwen: Qwen3 Next 80B A3B Instruct and $3.63975/1M for Qwen: Qwen3.5 397B A17B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3 Next 80B A3B Instruct or Qwen: Qwen3.5 397B A17B faster?

Current measured p50 time to first token is 1276 ms for Qwen: Qwen3 Next 80B A3B Instruct and 925 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 Qwen: Qwen3 Next 80B A3B Instruct 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 qwen/qwen3-next-80b-a3b-instruct and qwen/qwen3.5-397b-a17b. This makes side-by-side evals possible without maintaining two provider integrations.

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