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DeepSeek: DeepSeek V4.1 Flash 1017 vs NVIDIA: Nemotron 3 Ultra

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V4.1 Flash 1017 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

DeepSeek V4.1 Flash 1017 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.

$0.1266/1MDeepSeek: DeepSeek V4.1 Flash 1017 cheapest route
$2.79575/1MNVIDIA: Nemotron 3 Ultra cheapest route
not enough dataDeepSeek: DeepSeek V4.1 Flash 1017 fastest measured p50 TTFT
not enough dataNVIDIA: Nemotron 3 Ultra 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 V4.1 Flash 1017NVIDIA: Nemotron 3 Ultra
Model iddeepseek/deepseek-v4.1-flash-1017nvidia/nemotron-3-ultra-550b-a55b
Publisher DeepSeek NVIDIA
AI IQ IQ 127#18 —
Context1,048,576 tokens262,144 tokens
Credits provider routes125
Cheapest route$0.1266/1M$2.79575/1M
Cached input$0.01/1M to $0.13715/1M$0.1055/1M to $0.1266/1M
Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route
Fastest measured p50 TTFTnot enough datanot enough data
Highest measured throughputnot enough datanot enough data
Recent route uptime rangenot enough datanot enough data
Modes chat chat

DeepSeek: DeepSeek V4.1 Flash 1017 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-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v4.1-flash-1017",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4.1 Flash 1017 or NVIDIA: Nemotron 3 Ultra?

DeepSeek V4.1 Flash 1017 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 V4.1 Flash 1017 or NVIDIA: Nemotron 3 Ultra cheaper?

The current cheapest TrustedRouter route is $0.1266/1M for DeepSeek: DeepSeek V4.1 Flash 1017 and $2.79575/1M for NVIDIA: Nemotron 3 Ultra. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4.1 Flash 1017 or NVIDIA: Nemotron 3 Ultra faster?

Current measured p50 time to first token is not enough data for DeepSeek: DeepSeek V4.1 Flash 1017 and not enough data for NVIDIA: Nemotron 3 Ultra. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4.1 Flash 1017 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-v4.1-flash-1017 and nvidia/nemotron-3-ultra-550b-a55b. This makes side-by-side evals possible without maintaining two provider integrations.

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