OpenAI compatible API · Attested · Public status

Google: Gemini 3.1 Flash Lite vs NVIDIA: Nemotron 3 Nano 30B A3B

Google: Gemini 3.1 Flash Lite vs NVIDIA: Nemotron 3 Nano 30B A3B: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

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 Nano 30B A3B has the lower cheapest prompt+completion route on TrustedRouter. Google: Gemini 3.1 Flash Lite has more provider fallback routes, while Google: Gemini 3.1 Flash Lite has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$1.84625/1MGoogle: Gemini 3.1 Flash Lite cheapest route

$0.26375/1MNVIDIA: Nemotron 3 Nano 30B A3B cheapest route

1032 msGoogle: Gemini 3.1 Flash Lite fastest measured p50 TTFT via google-vertex

not enough dataNVIDIA: Nemotron 3 Nano 30B A3B fastest measured p50 TTFT

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.

Google: Gemini 3.1 Flash LiteNVIDIA: Nemotron 3 Nano 30B A3B

Model idgoogle/gemini-3.1-flash-litenvidia/nemotron-3-nano-30b-a3b

Publisher Google AI Studio DeepInfra

AI IQ IQ 101#82 —

Context1,048,576 tokens262,144 tokens

Credits provider routes43

Cheapest route$1.84625/1M$0.26375/1M

Cached input$0.026375/1M$0.026375/1M to $0.03165/1M

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFT1032 ms via google-vertexnot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%not enough data

Modes chat chat

Google: Gemini 3.1 Flash Lite routes

Overview4 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

NVIDIA: Nemotron 3 Nano 30B A3B routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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NVIDIA: Nemotron 3 Nano 30B A3B vs Z.ai: GLM 5.234 combined provider routes
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DeepSeek: DeepSeek V4 Flash 0731 vs Google: Gemini 3.1 Flash Lite26 combined provider routes
Google: Gemini 3.1 Flash Lite vs Z.ai: GLM 5.326 combined provider routes
MoonshotAI: Kimi K3 vs NVIDIA: Nemotron 3 Nano 30B A3B26 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs NVIDIA: Nemotron 3 Nano 30B A3B25 combined provider routes
NVIDIA: Nemotron 3 Nano 30B A3B vs Z.ai: GLM 5.325 combined provider routes

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="google/gemini-3.1-flash-lite",
    messages=messages,
)

Questions

Which should I use, Google: Gemini 3.1 Flash Lite or NVIDIA: Nemotron 3 Nano 30B A3B?

Is Google: Gemini 3.1 Flash Lite or NVIDIA: Nemotron 3 Nano 30B A3B cheaper?

The current cheapest TrustedRouter route is $1.84625/1M for Google: Gemini 3.1 Flash Lite and $0.26375/1M for NVIDIA: Nemotron 3 Nano 30B A3B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemini 3.1 Flash Lite or NVIDIA: Nemotron 3 Nano 30B A3B faster?

Current measured p50 time to first token is 1032 ms for Google: Gemini 3.1 Flash Lite and not enough data for NVIDIA: Nemotron 3 Nano 30B A3B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemini 3.1 Flash Lite and NVIDIA: Nemotron 3 Nano 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 google/gemini-3.1-flash-lite and nvidia/nemotron-3-nano-30b-a3b. This makes side-by-side evals possible without maintaining two provider integrations.