OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4.1 Flash vs OpenAI: GPT-5.5 Pro

DeepSeek V4.1 Flash vs GPT-5.5 Pro: 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 V4.1 Flash has more Credits provider routes. GPT-5.5 Pro has 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.

$0.1266/1MDeepSeek: DeepSeek V4.1 Flash cheapest route
$221.55/1MOpenAI: GPT-5.5 Pro cheapest route
813 msDeepSeek: DeepSeek V4.1 Flash fastest measured p50 TTFT via pearl
not enough dataOpenAI: GPT-5.5 Pro 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 FlashOpenAI: GPT-5.5 Pro
Model iddeepseek/deepseek-v4.1-flashopenai/gpt-5.5-pro
AI IQ IQ 124#22 —
Context1,048,576 tokens1,050,000 tokens
Credits provider routes180
Cheapest route$0.1266/1M$221.55/1M
Cached input$0.01/1M to $0.146118/1MNot published
Privacy posturehas provider E2EE routeprovider posture varies
Fastest measured p50 TTFT813 ms via pearlnot enough data
Highest measured throughput119 tok/s via novitanot enough data
Recent route uptime range0.00% to 100.00%not enough data
Modes chat decide chat

DeepSeek: DeepSeek V4.1 Flash routes

OpenAI: GPT-5.5 Pro 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",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4.1 Flash or OpenAI: GPT-5.5 Pro?

DeepSeek V4.1 Flash has more Credits provider routes. GPT-5.5 Pro has 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 or OpenAI: GPT-5.5 Pro cheaper?

The current cheapest TrustedRouter route is $0.1266/1M for DeepSeek: DeepSeek V4.1 Flash and $221.55/1M for OpenAI: GPT-5.5 Pro. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4.1 Flash or OpenAI: GPT-5.5 Pro faster?

Current measured p50 time to first token is 813 ms for DeepSeek: DeepSeek V4.1 Flash and not enough data for OpenAI: GPT-5.5 Pro. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4.1 Flash and OpenAI: GPT-5.5 Pro 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 and openai/gpt-5.5-pro. This makes side-by-side evals possible without maintaining two provider integrations.

Workspace access

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