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DeepSeek: DeepSeek V4.1 Flash 1017 vs nvidia/Nemotron-3.5-Lightning-30B-A3B

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V4.1 Flash 1017 and nvidia/Nemotron-3.5-Lightning-30B-A3B. 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, the larger context window and the lower measured p50 time to first token.

$0.1266/1MDeepSeek: DeepSeek V4.1 Flash 1017 cheapest route
$0.26375/1Mnvidia/Nemotron-3.5-Lightning-30B-A3B cheapest route
618 msDeepSeek: DeepSeek V4.1 Flash 1017 fastest measured p50 TTFT via baseten
812 msnvidia/Nemotron-3.5-Lightning-30B-A3B fastest measured p50 TTFT via nvidia-nim

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-3.5-Lightning-30B-A3B
Model iddeepseek/deepseek-v4.1-flash-1017nvidia/nemotron-3.5-lightning-30b-a3b
Publisher DeepSeek NVIDIA
AI IQ IQ 127#18 —
Context1,048,576 tokens262,144 tokens
Credits provider routes123
Cheapest route$0.1266/1M$0.26375/1M
Cached input$0.01/1M to $0.13715/1M$0.03165/1M to $0.0422/1M
Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies
Fastest measured p50 TTFT618 ms via baseten812 ms via nvidia-nim
Highest measured throughputnot enough datanot enough data
Recent route uptime range94.20% to 100.00%100.00%
Modes chat chat

DeepSeek: DeepSeek V4.1 Flash 1017 routes

nvidia/Nemotron-3.5-Lightning-30B-A3B 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-v4.1-flash-1017",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4.1 Flash 1017 or nvidia/Nemotron-3.5-Lightning-30B-A3B?

DeepSeek V4.1 Flash 1017 has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is DeepSeek: DeepSeek V4.1 Flash 1017 or nvidia/Nemotron-3.5-Lightning-30B-A3B cheaper?

The current cheapest TrustedRouter route is $0.1266/1M for DeepSeek: DeepSeek V4.1 Flash 1017 and $0.26375/1M for nvidia/Nemotron-3.5-Lightning-30B-A3B. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4.1 Flash 1017 or nvidia/Nemotron-3.5-Lightning-30B-A3B faster?

Current measured p50 time to first token is 618 ms for DeepSeek: DeepSeek V4.1 Flash 1017 and 812 ms for nvidia/Nemotron-3.5-Lightning-30B-A3B. 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-3.5-Lightning-30B-A3B 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-3.5-lightning-30b-a3b. This makes side-by-side evals possible without maintaining two provider integrations.

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