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deepseek-ai/DeepSeek-V3.1 vs Qwen: Qwen3.5 397B A17B

Try both on us. Starter credit covers your first requests, then one key routes deepseek-ai/DeepSeek-V3.1 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

deepseek-ai/DeepSeek-V3.1 has the lower published input-plus-output rate and the lower measured p50 time to first token. Qwen: Qwen3.5 397B A17B has more Credits provider routes and the larger context window.

$1.266/1Mdeepseek-ai/DeepSeek-V3.1 cheapest route
$3.63975/1MQwen: Qwen3.5 397B A17B cheapest route
666 msdeepseek-ai/DeepSeek-V3.1 fastest measured p50 TTFT via amazon-bedrock
1649 msQwen: Qwen3.5 397B A17B fastest measured p50 TTFT via scaleway

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.

deepseek-ai/DeepSeek-V3.1Qwen: Qwen3.5 397B A17B
Model iddeepseek/deepseek-v3.1qwen/qwen3.5-397b-a17b
AI IQ IQ 98#131 —
Context163,840 tokens262,144 tokens
Credits provider routes511
Cheapest route$1.266/1M$3.63975/1M
Cached input$0.13715/1M to $0.241595/1M$0.047475/1M to $0.58025/1M
Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT666 ms via amazon-bedrock1649 ms via scaleway
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%0.00% to 100.00%
Modes chat chat

deepseek-ai/DeepSeek-V3.1 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="deepseek/deepseek-v3.1",
    messages=messages,
)

Questions

Which should I use, deepseek-ai/DeepSeek-V3.1 or Qwen: Qwen3.5 397B A17B?

deepseek-ai/DeepSeek-V3.1 has the lower published input-plus-output rate and the lower measured p50 time to first token. Qwen: Qwen3.5 397B A17B has more Credits provider routes and the larger context window.

Is deepseek-ai/DeepSeek-V3.1 or Qwen: Qwen3.5 397B A17B cheaper?

The current cheapest TrustedRouter route is $1.266/1M for deepseek-ai/DeepSeek-V3.1 and $3.63975/1M for Qwen: Qwen3.5 397B A17B. The comparison uses current catalog prices and updates as provider pricing changes.

Is deepseek-ai/DeepSeek-V3.1 or Qwen: Qwen3.5 397B A17B faster?

Current measured p50 time to first token is 666 ms for deepseek-ai/DeepSeek-V3.1 and 1649 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 deepseek-ai/DeepSeek-V3.1 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 deepseek/deepseek-v3.1 and qwen/qwen3.5-397b-a17b. This makes side-by-side evals possible without maintaining two provider integrations.

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