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DeepSeek: DeepSeek V4.1 Flash 1017 vs OpenAI Text Embedding 3 Large

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V4.1 Flash 1017 and OpenAI Text Embedding 3 Large. 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 V4.1 Flash 1017 has more Credits provider routes and the larger context window. OpenAI Text Embedding 3 Large has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

$0.15825/1MDeepSeek: DeepSeek V4.1 Flash 1017 cheapest route
$0.13715/1MOpenAI Text Embedding 3 Large cheapest route
714 msDeepSeek: DeepSeek V4.1 Flash 1017 fastest measured p50 TTFT via deepinfra
not enough dataOpenAI Text Embedding 3 Large 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 V4.1 Flash 1017OpenAI Text Embedding 3 Large
Model iddeepseek/deepseek-v4.1-flash-1017openai/text-embedding-3-large
AI IQ IQ 128#19 —
Context1,048,576 tokens8,191 tokens
Credits provider routes161
Cheapest route$0.15825/1M$0.13715/1M
Cached input$0.01/1M to $0.13715/1MNot published
Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route
Fastest measured p50 TTFT714 ms via deepinfranot enough data
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat embeddings

DeepSeek: DeepSeek V4.1 Flash 1017 routes

OpenAI Text Embedding 3 Large 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-v4.1-flash-1017",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4.1 Flash 1017 or OpenAI Text Embedding 3 Large?

DeepSeek V4.1 Flash 1017 has more Credits provider routes and the larger context window. OpenAI Text Embedding 3 Large has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

Is DeepSeek: DeepSeek V4.1 Flash 1017 or OpenAI Text Embedding 3 Large cheaper?

The current cheapest TrustedRouter route is $0.15825/1M for DeepSeek: DeepSeek V4.1 Flash 1017 and $0.13715/1M for OpenAI Text Embedding 3 Large. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4.1 Flash 1017 or OpenAI Text Embedding 3 Large faster?

Current measured p50 time to first token is 714 ms for DeepSeek: DeepSeek V4.1 Flash 1017 and not enough data for OpenAI Text Embedding 3 Large. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4.1 Flash 1017 and OpenAI Text Embedding 3 Large 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.

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