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DeepSeek: DeepSeek V4 Pro 0423 vs Inception: Mercury 2.5

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V4 Pro 0423 and Mercury 2.5. 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 more Credits provider routes, the larger context window and the lower measured p50 time to first token. Mercury 2.5 has the lower published input-plus-output rate.

$0.79125/1MDeepSeek: DeepSeek V4 Pro 0423 cheapest route
$0.20045/1MInception: Mercury 2.5 cheapest route
588 msDeepSeek: DeepSeek V4 Pro 0423 fastest measured p50 TTFT via wafer
1458 msInception: Mercury 2.5 fastest measured p50 TTFT via inception

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 0423Inception: Mercury 2.5
Model iddeepseek/deepseek-v4-proinception/mercury-2.5
Context1,048,576 tokens260,000 tokens
Credits provider routes151
Cheapest route$0.79125/1M$0.20045/1M
Cached input$0.01/1M to $0.739555/1M$0.01/1M
Privacy posturehas ZDR routeprovider posture varies
Fastest measured p50 TTFT588 ms via wafer1458 ms via inception
Highest measured throughputnot enough datanot enough data
Recent route uptime range66.67% to 100.00%100.00%
Modes chat chat

DeepSeek: DeepSeek V4 Pro 0423 routes

Inception: Mercury 2.5 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-pro",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4 Pro 0423 or Inception: Mercury 2.5?

DeepSeek V4 Pro 0423 has more Credits provider routes, the larger context window and the lower measured p50 time to first token. Mercury 2.5 has the lower published input-plus-output rate.

Is DeepSeek: DeepSeek V4 Pro 0423 or Inception: Mercury 2.5 cheaper?

The current cheapest TrustedRouter route is $0.79125/1M for DeepSeek: DeepSeek V4 Pro 0423 and $0.20045/1M for Inception: Mercury 2.5. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4 Pro 0423 or Inception: Mercury 2.5 faster?

Current measured p50 time to first token is 588 ms for DeepSeek: DeepSeek V4 Pro 0423 and 1458 ms for Inception: Mercury 2.5. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4 Pro 0423 and Inception: Mercury 2.5 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 inception/mercury-2.5. This makes side-by-side evals possible without maintaining two provider integrations.

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