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DeepSeek: DeepSeek V4 Flash 0731 vs Grounded Document QA

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V4 Flash 0731 and Grounded Document QA. 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 more Credits provider routes, the larger context window and the lower measured p50 time to first token. Grounded Document QA has the lower published input-plus-output rate.

$0.142425/1MDeepSeek: DeepSeek V4 Flash 0731 cheapest route
$0.11605/1MGrounded Document QA cheapest route
865 msDeepSeek: DeepSeek V4 Flash 0731 fastest measured p50 TTFT via engy
1387 msGrounded Document QA fastest measured p50 TTFT via neurometric

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 0731Grounded Document QA
Model iddeepseek/deepseek-v4-flash-0731neurometric/grounded-document-qa
AI IQ — —
Context1,048,576 tokens49,152 tokens
Credits provider routes261
Cheapest route$0.142425/1M$0.11605/1M
Cached input$0.01/1M to $0.118793/1MNot published
Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies
Fastest measured p50 TTFT865 ms via engy1387 ms via neurometric
Highest measured throughput120 tok/s via nextbitnot enough data
Recent route uptime range96.43% to 100.00%100.00%
Modes chat chat

DeepSeek: DeepSeek V4 Flash 0731 routes

Grounded Document QA 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 Grounded Document QA?

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

Is DeepSeek: DeepSeek V4 Flash 0731 or Grounded Document QA cheaper?

The current cheapest TrustedRouter route is $0.142425/1M for DeepSeek: DeepSeek V4 Flash 0731 and $0.11605/1M for Grounded Document QA. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4 Flash 0731 or Grounded Document QA faster?

Current measured p50 time to first token is 865 ms for DeepSeek: DeepSeek V4 Flash 0731 and 1387 ms for Grounded Document QA. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4 Flash 0731 and Grounded Document QA 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 neurometric/grounded-document-qa. This makes side-by-side evals possible without maintaining two provider integrations.

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