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OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4 Pro 0423 vs Qwen: Qwen2.5 VL 72B Instruct

DeepSeek V4 Pro 0423 vs Qwen: Qwen2.5 VL 72B Instruct: 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 Pro 0423 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$0.79125/1MDeepSeek: DeepSeek V4 Pro 0423 cheapest route
$1.899/1MQwen: Qwen2.5 VL 72B Instruct cheapest route
832 msDeepSeek: DeepSeek V4 Pro 0423 fastest measured p50 TTFT via wafer
not enough dataQwen: Qwen2.5 VL 72B Instruct 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 Pro 0423Qwen: Qwen2.5 VL 72B Instruct
Model iddeepseek/deepseek-v4-proqwen/qwen2.5-vl-72b-instruct
AI IQ IQ 124#27 —
Context1,048,576 tokens128,000 tokens
Credits provider routes161
Cheapest route$0.79125/1M$1.899/1M
Cached input$0.01/1M to $0.91574/1M$0.422/1M
Privacy posturehas ZDR routehas ZDR route
Fastest measured p50 TTFT832 ms via wafernot enough data
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%not enough data
Modes chat chat

DeepSeek: DeepSeek V4 Pro 0423 routes

Qwen: Qwen2.5 VL 72B Instruct 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-pro",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4 Pro 0423 or Qwen: Qwen2.5 VL 72B Instruct?

DeepSeek V4 Pro 0423 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

Is DeepSeek: DeepSeek V4 Pro 0423 or Qwen: Qwen2.5 VL 72B Instruct cheaper?

The current cheapest TrustedRouter route is $0.79125/1M for DeepSeek: DeepSeek V4 Pro 0423 and $1.899/1M for Qwen: Qwen2.5 VL 72B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4 Pro 0423 or Qwen: Qwen2.5 VL 72B Instruct faster?

Current measured p50 time to first token is 832 ms for DeepSeek: DeepSeek V4 Pro 0423 and not enough data for Qwen: Qwen2.5 VL 72B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4 Pro 0423 and Qwen: Qwen2.5 VL 72B Instruct 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-pro and qwen/qwen2.5-vl-72b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.

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