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DeepSeek: DeepSeek V4 Flash 0731 vs Qwen/Qwen3-235B-A22B-Instruct-2507

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V4 Flash 0731 and Qwen/Qwen3-235B-A22B-Instruct-2507. 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 V4 Flash 0731 has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$0.142425/1MDeepSeek: DeepSeek V4 Flash 0731 cheapest route
$0.6752/1MQwen/Qwen3-235B-A22B-Instruct-2507 cheapest route
841 msDeepSeek: DeepSeek V4 Flash 0731 fastest measured p50 TTFT via boundless
1476 msQwen/Qwen3-235B-A22B-Instruct-2507 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: DeepSeek V4 Flash 0731Qwen/Qwen3-235B-A22B-Instruct-2507
Model iddeepseek/deepseek-v4-flash-0731qwen/qwen3-235b-a22b-instruct-2507
AI IQ — —
Context1,048,576 tokens262,144 tokens
Credits provider routes265
Cheapest route$0.142425/1M$0.6752/1M
Cached input$0.01/1M to $0.118793/1MNot published
Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies
Fastest measured p50 TTFT841 ms via boundless1476 ms via scaleway
Highest measured throughput171 tok/s via confidential-ainot enough data
Recent route uptime range50.00% to 100.00%100.00%
Modes chat chat

DeepSeek: DeepSeek V4 Flash 0731 routes

Qwen/Qwen3-235B-A22B-Instruct-2507 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-v4-flash-0731",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4 Flash 0731 or Qwen/Qwen3-235B-A22B-Instruct-2507?

DeepSeek V4 Flash 0731 has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is DeepSeek: DeepSeek V4 Flash 0731 or Qwen/Qwen3-235B-A22B-Instruct-2507 cheaper?

The current cheapest TrustedRouter route is $0.142425/1M for DeepSeek: DeepSeek V4 Flash 0731 and $0.6752/1M for Qwen/Qwen3-235B-A22B-Instruct-2507. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4 Flash 0731 or Qwen/Qwen3-235B-A22B-Instruct-2507 faster?

Current measured p50 time to first token is 841 ms for DeepSeek: DeepSeek V4 Flash 0731 and 1476 ms for Qwen/Qwen3-235B-A22B-Instruct-2507. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4 Flash 0731 and Qwen/Qwen3-235B-A22B-Instruct-2507 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-v4-flash-0731 and qwen/qwen3-235b-a22b-instruct-2507. This makes side-by-side evals possible without maintaining two provider integrations.

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