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DeepSeek: DeepSeek V4.1 Flash vs Reflection Beam 1.0

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V4.1 Flash and Reflection Beam 1.0. 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 has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

$0.1266/1MDeepSeek: DeepSeek V4.1 Flash cheapest route

$1.31875/1MReflection Beam 1.0 cheapest route

975 msDeepSeek: DeepSeek V4.1 Flash fastest measured p50 TTFT via together

2491 msReflection Beam 1.0 fastest measured p50 TTFT via nebius

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 FlashReflection Beam 1.0

Model iddeepseek/deepseek-v4.1-flashreflection/beam

Publisher DeepSeek reflection

AI IQ IQ 126#22 IQ 113#61

Context1,048,576 tokens1,048,576 tokens

Credits provider routes241

Cheapest route$0.1266/1M$1.31875/1M

Cached input$0.01/1M to $0.1899/1MNot published

Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route

Fastest measured p50 TTFT975 ms via together2491 ms via nebius

Highest measured throughputnot enough datanot enough data

Recent route uptime range98.55% to 100.00%100.00%

Modes chat decide chat

DeepSeek: DeepSeek V4.1 Flash routes

Overview24 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Reflection Beam 1.0 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-v4.1-flash",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4.1 Flash or Reflection Beam 1.0?

DeepSeek V4.1 Flash has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

Is DeepSeek: DeepSeek V4.1 Flash or Reflection Beam 1.0 cheaper?

The current cheapest TrustedRouter route is $0.1266/1M for DeepSeek: DeepSeek V4.1 Flash and $1.31875/1M for Reflection Beam 1.0. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4.1 Flash or Reflection Beam 1.0 faster?

Current measured p50 time to first token is 975 ms for DeepSeek: DeepSeek V4.1 Flash and 2491 ms for Reflection Beam 1.0. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4.1 Flash and Reflection Beam 1.0 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 reflection/beam. This makes side-by-side evals possible without maintaining two provider integrations.