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DeepSeek: R1 0528 vs NVIDIA: Nemotron 3 Ultra

Try both on us. Starter credit covers your first requests, then one key routes R1 0528 and Nemotron 3 Ultra. 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

NVIDIA: Nemotron 3 Ultra has more Credits provider routes and the larger context window. The lowest published input-plus-output rates are equal. There is not enough recent probe data to compare speed.

$2.79575/1MDeepSeek: R1 0528 cheapest route
$2.79575/1MNVIDIA: Nemotron 3 Ultra cheapest route
not enough dataDeepSeek: R1 0528 fastest measured p50 TTFT
904 msNVIDIA: Nemotron 3 Ultra fastest measured p50 TTFT via baseten

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: R1 0528NVIDIA: Nemotron 3 Ultra
Model iddeepseek/deepseek-r1-0528nvidia/nemotron-3-ultra-550b-a55b
Publisher DeepSeek NVIDIA
AI IQ — —
Context163,840 tokens262,144 tokens
Credits provider routes35
Cheapest route$2.79575/1M$2.79575/1M
Cached input$0.276235/1M to $0.36925/1M$0.1055/1M to $0.1266/1M
Privacy postureprovider posture varieshas ZDR route
Fastest measured p50 TTFTnot enough data904 ms via baseten
Highest measured throughputnot enough data107 tok/s via nvidia-nim
Recent route uptime range100.00%100.00%
Modes chat chat

DeepSeek: R1 0528 routes

NVIDIA: Nemotron 3 Ultra 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-r1-0528",
    messages=messages,
)

Questions

Which should I use, DeepSeek: R1 0528 or NVIDIA: Nemotron 3 Ultra?

NVIDIA: Nemotron 3 Ultra has more Credits provider routes and the larger context window. The lowest published input-plus-output rates are equal. There is not enough recent probe data to compare speed.

Is DeepSeek: R1 0528 or NVIDIA: Nemotron 3 Ultra cheaper?

The current cheapest TrustedRouter route is $2.79575/1M for DeepSeek: R1 0528 and $2.79575/1M for NVIDIA: Nemotron 3 Ultra. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: R1 0528 or NVIDIA: Nemotron 3 Ultra faster?

Current measured p50 time to first token is not enough data for DeepSeek: R1 0528 and 904 ms for NVIDIA: Nemotron 3 Ultra. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: R1 0528 and NVIDIA: Nemotron 3 Ultra 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-r1-0528 and nvidia/nemotron-3-ultra-550b-a55b. This makes side-by-side evals possible without maintaining two provider integrations.

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