OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4 Flash 0731 vs Grounded Document QA

DeepSeek V4 Flash 0731 vs Grounded Document QA: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
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 and the larger context window. Grounded Document QA has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

$0.142425/1MDeepSeek: DeepSeek V4 Flash 0731 cheapest route
$0.11605/1MGrounded Document QA cheapest route
871 msDeepSeek: DeepSeek V4 Flash 0731 fastest measured p50 TTFT via inceptron
not enough dataGrounded Document QA 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.

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 routes241
Cheapest route$0.142425/1M$0.11605/1M
Cached input$0.01/1M to $0.101586/1MNot published
Privacy posturehas confidential-compute routeprovider posture varies
Fastest measured p50 TTFT871 ms via inceptronnot enough data
Highest measured throughputnot enough datanot enough data
Recent route uptime range66.67% to 100.00%100.00%
Modes chat chat

DeepSeek: DeepSeek V4 Flash 0731 routes

Grounded Document QA routes

Related comparisons

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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 and the larger context window. Grounded Document QA has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

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 871 ms for DeepSeek: DeepSeek V4 Flash 0731 and not enough data 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.

Workspace access

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