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DeepSeek: DeepSeek V4.1 Flash 1017 vs OpenAI: GPT-5.4 Nano

One key routes both. Starter credit covers your first DeepSeek V4.1 Flash 1017 requests, while GPT-5.4 Nano runs on your own provider key. 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. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.

$0.15825/1MDeepSeek: DeepSeek V4.1 Flash 1017 cheapest route
$1.52975/1MOpenAI: GPT-5.4 Nano cheapest route
714 msDeepSeek: DeepSeek V4.1 Flash 1017 fastest measured p50 TTFT via deepinfra
not enough dataOpenAI: GPT-5.4 Nano 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: GPT-5.4 Nano
Model iddeepseek/deepseek-v4.1-flash-1017openai/gpt-5.4-nano
Context1,048,576 tokens400,000 tokens
Credits provider routes160
Cheapest route$0.15825/1M$1.52975/1M
Cached input$0.01/1M to $0.13715/1MNot published
Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies
Fastest measured p50 TTFT714 ms via deepinfranot enough data
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%not enough data
Modes chat chat

DeepSeek: DeepSeek V4.1 Flash 1017 routes

OpenAI: GPT-5.4 Nano 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: GPT-5.4 Nano?

DeepSeek V4.1 Flash 1017 has more Credits provider routes and the larger context window. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.

Is DeepSeek: DeepSeek V4.1 Flash 1017 or OpenAI: GPT-5.4 Nano cheaper?

The current cheapest TrustedRouter route is $0.15825/1M for DeepSeek: DeepSeek V4.1 Flash 1017 and $1.52975/1M for OpenAI: GPT-5.4 Nano. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4.1 Flash 1017 or OpenAI: GPT-5.4 Nano faster?

Current measured p50 time to first token is 714 ms for DeepSeek: DeepSeek V4.1 Flash 1017 and not enough data for OpenAI: GPT-5.4 Nano. 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: GPT-5.4 Nano 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-v4.1-flash-1017 and openai/gpt-5.4-nano. This makes side-by-side evals possible without maintaining two provider integrations.

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