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OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4.1 Flash vs GPT Image 2.5 Flare

DeepSeek V4.1 Flash has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed. Compare price, speed, context, and privacy.

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 the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

$0.1266/1MDeepSeek: DeepSeek V4.1 Flash cheapest route
$36.925/1MGPT Image 2.5 Flare cheapest route
938 msDeepSeek: DeepSeek V4.1 Flash fastest measured p50 TTFT via wandb
not enough dataGPT Image 2.5 Flare 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 FlashGPT Image 2.5 Flare
Model iddeepseek/deepseek-v4.1-flashopenai/gpt-image-2.5-flare
AI IQ IQ 126#21 —
Context1,048,576 tokens0 tokens
Credits provider routes241
Cheapest route$0.1266/1M$36.925/1M
Cached input$0.01/1M to $0.17935/1M$1.31875/1M
Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route
Fastest measured p50 TTFT938 ms via wandbnot enough data
Highest measured throughputnot enough datanot enough data
Recent route uptime range0.00% to 100.00%not enough data
Modes chat decide

DeepSeek: DeepSeek V4.1 Flash routes

GPT Image 2.5 Flare 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 GPT Image 2.5 Flare?

DeepSeek V4.1 Flash has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

Is DeepSeek: DeepSeek V4.1 Flash or GPT Image 2.5 Flare cheaper?

The current cheapest TrustedRouter route is $0.1266/1M for DeepSeek: DeepSeek V4.1 Flash and $36.925/1M for GPT Image 2.5 Flare. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4.1 Flash or GPT Image 2.5 Flare faster?

Current measured p50 time to first token is 938 ms for DeepSeek: DeepSeek V4.1 Flash and not enough data for GPT Image 2.5 Flare. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4.1 Flash and GPT Image 2.5 Flare 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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