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Qwen: Qwen3.8 27B vs Tencent: Hunyuan A13B Instruct

Try both on us. Starter credit covers your first requests, then one key routes Qwen3.8 27B and Hunyuan A13B 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

Qwen: Qwen3.8 27B has the lower published input-plus-output rate and more Credits provider routes. Tencent: Hunyuan A13B Instruct has the larger context window. There is not enough recent probe data to compare speed.

$0.385075/1MQwen: Qwen3.8 27B cheapest route
$0.74905/1MTencent: Hunyuan A13B Instruct cheapest route
608 msQwen: Qwen3.8 27B fastest measured p50 TTFT via deepinfra
not enough dataTencent: Hunyuan A13B Instruct fastest measured p50 TTFT

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: Qwen3.8 27BTencent: Hunyuan A13B Instruct
Model idqwen/qwen3.8-27btencent/hunyuan-a13b-instruct
AI IQ IQ 115#55 —
Context65,536 tokens131,072 tokens
Credits provider routes201
Cheapest route$0.385075/1M$0.74905/1M
Cached input$0.01/1M to $0.19834/1MNot published
Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies
Fastest measured p50 TTFT608 ms via deepinfranot enough data
Highest measured throughput117 tok/s via munanot enough data
Recent route uptime range100.00%not enough data
Modes chat chat

Qwen: Qwen3.8 27B routes

Tencent: Hunyuan A13B 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="qwen/qwen3.8-27b",
    messages=messages,
)

Questions

Which should I use, Qwen: Qwen3.8 27B or Tencent: Hunyuan A13B Instruct?

Qwen: Qwen3.8 27B has the lower published input-plus-output rate and more Credits provider routes. Tencent: Hunyuan A13B Instruct has the larger context window. There is not enough recent probe data to compare speed.

Is Qwen: Qwen3.8 27B or Tencent: Hunyuan A13B Instruct cheaper?

The current cheapest TrustedRouter route is $0.385075/1M for Qwen: Qwen3.8 27B and $0.74905/1M for Tencent: Hunyuan A13B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3.8 27B or Tencent: Hunyuan A13B Instruct faster?

Current measured p50 time to first token is 608 ms for Qwen: Qwen3.8 27B and not enough data for Tencent: Hunyuan A13B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Qwen: Qwen3.8 27B and Tencent: Hunyuan A13B Instruct with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between qwen/qwen3.8-27b and tencent/hunyuan-a13b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.

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