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NVIDIA

nemotron-3.5-lightning-30b-a3b

NVIDIA Nemotron 3.5 Lightning 30B-A3B is a hybrid Mamba-2 + MoE + Attention model with 30B total and 3B active parameters, pre-trained on over 20T tokens with an NVFP4 recipe and Multi-Token Prediction for fast generation. Up to 1M token context for long-running autonomous agents, sub-agent workhorse deployments, and agentic workflows. Supports reasoning and tool calling. English and coding languages plus Spanish, French, German, Italian, and Japanese. Open weights under the OpenMDW License Agreement v1.1. Part of the NVIDIA Nemotron family.

ReasoningTool calling
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Specifications

Context window1.0M tokens
Max output66K tokens
API typechat
AddedAug 11, 2026
Model ID
Data retentionYes
Used for trainingYes
Provider location🇺🇸 US
Privacy policyNVIDIA Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model. Check the base model page or the NVIDIA models overview.

Pricing

Prices updated August 12, 2026
Input / 1M
Free
Output / 1M
Free
Cache write
N/A
Cache read
N/A
Estimated cost
100K input + 10K outputFree
1M input + 100K outputFree
10M input + 1M outputFree

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to nvidia/nemotron-3.5-lightning-30b-a3b.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="nvidia/nemotron-3.5-lightning-30b-a3b",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other NVIDIA models

muse-glimmer-30b
131K ctxFree/1M
nemotron-3.5-content-safety
131K ctxFree/1M
nemotron-3-super-120b-a12b
1.0M ctxFree/1M
Coding 38
nemotron-3-ultra-550b-a55b
1.0M ctxFree/1M
Coding 49
nemotron-3-nano-omni-30b-a3b-reasoning
131K ctxFree/1M
nemotron-3-nano-30b-a3b
262K ctxFree/1M
Coding 14

Frequently asked questions

How much does nemotron-3.5-lightning-30b-a3b cost?
nemotron-3.5-lightning-30b-a3b is priced at Free per million input tokens and Free per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of nemotron-3.5-lightning-30b-a3b?
nemotron-3.5-lightning-30b-a3b has a context window of 1.0M tokens, with a maximum output of 66K tokens per response. That's roughly 1,398 words of input you can fit in a single prompt.
What can nemotron-3.5-lightning-30b-a3b do?
nemotron-3.5-lightning-30b-a3b supports tool calling, extended reasoning. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use nemotron-3.5-lightning-30b-a3b with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "nvidia/nemotron-3.5-lightning-30b-a3b". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run nemotron-3.5-lightning-30b-a3b through Requesty?
Yes. nemotron-3.5-lightning-30b-a3b runs through Requesty's OpenAI-compatible API, served from NVIDIA. You do not host the model yourself: point base_url at Requesty, set the model to "nvidia/nemotron-3.5-lightning-30b-a3b", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Access nemotron-3.5-lightning-30b-a3b through Requesty

One API key, 600+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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