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deepseek-ai/DeepSeek-V3.1 vs DeepSeek: DeepSeek V4 Pro 0423

Try both on us. Starter credit covers your first requests, then one key routes deepseek-ai/DeepSeek-V3.1 and DeepSeek V4 Pro 0423. 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 Pro 0423 has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$1.266/1Mdeepseek-ai/DeepSeek-V3.1 cheapest route
$0.79125/1MDeepSeek: DeepSeek V4 Pro 0423 cheapest route
666 msdeepseek-ai/DeepSeek-V3.1 fastest measured p50 TTFT via amazon-bedrock
588 msDeepSeek: DeepSeek V4 Pro 0423 fastest measured p50 TTFT via wafer

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-ai/DeepSeek-V3.1DeepSeek: DeepSeek V4 Pro 0423
Model iddeepseek/deepseek-v3.1deepseek/deepseek-v4-pro
Context163,840 tokens1,048,576 tokens
Credits provider routes515
Cheapest route$1.266/1M$0.79125/1M
Cached input$0.13715/1M to $0.241595/1M$0.01/1M to $0.739555/1M
Privacy postureprovider posture varieshas ZDR route
Fastest measured p50 TTFT666 ms via amazon-bedrock588 ms via wafer
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%66.67% to 100.00%
Modes chat chat

deepseek-ai/DeepSeek-V3.1 routes

DeepSeek: DeepSeek V4 Pro 0423 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-v3.1",
    messages=messages,
)

Questions

Which should I use, deepseek-ai/DeepSeek-V3.1 or DeepSeek: DeepSeek V4 Pro 0423?

DeepSeek V4 Pro 0423 has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is deepseek-ai/DeepSeek-V3.1 or DeepSeek: DeepSeek V4 Pro 0423 cheaper?

The current cheapest TrustedRouter route is $1.266/1M for deepseek-ai/DeepSeek-V3.1 and $0.79125/1M for DeepSeek: DeepSeek V4 Pro 0423. The comparison uses current catalog prices and updates as provider pricing changes.

Is deepseek-ai/DeepSeek-V3.1 or DeepSeek: DeepSeek V4 Pro 0423 faster?

Current measured p50 time to first token is 666 ms for deepseek-ai/DeepSeek-V3.1 and 588 ms for DeepSeek: DeepSeek V4 Pro 0423. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test deepseek-ai/DeepSeek-V3.1 and DeepSeek: DeepSeek V4 Pro 0423 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-v3.1 and deepseek/deepseek-v4-pro. This makes side-by-side evals possible without maintaining two provider integrations.

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