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DeepSeek: DeepSeek V4 Pro 0423 vs NVIDIA-Nemotron-3-Nano-30B-A3B-BF16

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V4 Pro 0423 and NVIDIA-Nemotron-3-Nano-30B-A3B-BF16. 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. NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 has the lower published input-plus-output rate.

$0.79125/1MDeepSeek: DeepSeek V4 Pro 0423 cheapest route
$0.26375/1MNVIDIA-Nemotron-3-Nano-30B-A3B-BF16 cheapest route
588 msDeepSeek: DeepSeek V4 Pro 0423 fastest measured p50 TTFT via wafer
961 msNVIDIA-Nemotron-3-Nano-30B-A3B-BF16 fastest measured p50 TTFT via nscale

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 0423NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
Model iddeepseek/deepseek-v4-pronvidia/nemotron-3-nano-30b-a3b-bf16
Publisher DeepSeek NVIDIA
AI IQ IQ 123#31 —
Context1,048,576 tokens256,000 tokens
Credits provider routes151
Cheapest route$0.79125/1M$0.26375/1M
Cached input$0.01/1M to $0.739555/1MNot published
Privacy posturehas ZDR routeprovider posture varies
Fastest measured p50 TTFT588 ms via wafer961 ms via nscale
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

NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 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 NVIDIA-Nemotron-3-Nano-30B-A3B-BF16?

DeepSeek V4 Pro 0423 has more Credits provider routes, the larger context window and the lower measured p50 time to first token. NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 has the lower published input-plus-output rate.

Is DeepSeek: DeepSeek V4 Pro 0423 or NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 cheaper?

The current cheapest TrustedRouter route is $0.79125/1M for DeepSeek: DeepSeek V4 Pro 0423 and $0.26375/1M for NVIDIA-Nemotron-3-Nano-30B-A3B-BF16. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4 Pro 0423 or NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 faster?

Current measured p50 time to first token is 588 ms for DeepSeek: DeepSeek V4 Pro 0423 and 961 ms for NVIDIA-Nemotron-3-Nano-30B-A3B-BF16. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4 Pro 0423 and NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 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 nvidia/nemotron-3-nano-30b-a3b-bf16. This makes side-by-side evals possible without maintaining two provider integrations.

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