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DeepSeek: DeepSeek V4 Flash 0731 vs Gemini Embedding 001

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V4 Flash 0731 and Gemini Embedding 001. 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 and the larger context window. There is not enough recent probe data to compare speed.

$0.142425/1MDeepSeek: DeepSeek V4 Flash 0731 cheapest route

$0.15825/1MGemini Embedding 001 cheapest route

865 msDeepSeek: DeepSeek V4 Flash 0731 fastest measured p50 TTFT via engy

not enough dataGemini Embedding 001 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 0731Gemini Embedding 001

Model iddeepseek/deepseek-v4-flash-0731google/gemini-embedding-001

Publisher DeepSeek Google AI Studio

AI IQ — —

Context1,048,576 tokens2,048 tokens

Credits provider routes261

Cheapest route$0.142425/1M$0.15825/1M

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 engynot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime range95.76% to 100.00%0.00%

Modes chat embeddings

DeepSeek: DeepSeek V4 Flash 0731 routes

Overview26 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Gemini Embedding 001 routes

Overview1 Credits 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 Gemini Embedding 001?

DeepSeek V4 Flash 0731 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

Is DeepSeek: DeepSeek V4 Flash 0731 or Gemini Embedding 001 cheaper?

The current cheapest TrustedRouter route is $0.142425/1M for DeepSeek: DeepSeek V4 Flash 0731 and $0.15825/1M for Gemini Embedding 001. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4 Flash 0731 or Gemini Embedding 001 faster?

Current measured p50 time to first token is 865 ms for DeepSeek: DeepSeek V4 Flash 0731 and not enough data for Gemini Embedding 001. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4 Flash 0731 and Gemini Embedding 001 with the same API?

Both use the same TrustedRouter base URL and API key. At least one of them is not a chat model, so the request can differ as well as the model id: the API docs list the route for each kind of model.