nemotron-3.5-lightning-30b-a3b
NVIDIA/🇺🇸 US/chat
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.MoreLess
Which id to call
nvidia/nemotron-3.5-lightning-30b-a3bThis exact deployment on NVIDIA, with no routing and no failover. Send it as the model field.
Input /1M
free
NVIDIA
Output /1M
free
no charge
Context
1.0M
66K output
Added
Aug 2026
chat
Capabilities 2/8
Provider rates
What nemotron-3.5-lightning-30b-a3b costs
Provider prices per 1M tokens, updated September 25, 2026.moreless
These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.
Input /1M
free
Output /1M
free
Cache write /1M
-
Cache read /1M
-
What a workload costs
- 100K input + 10K output
- free
- 1M input + 100K output
- free
- 10M input + 1M output
- free
At the rates above. This endpoint does not offer prompt caching, so repeated context is billed as new input every time.
model=
Which id to call
One base url, https://router.requesty.ai/v1, and one key for every id here.
nvidia/nemotron-3.5-lightning-30b-a3bThis exact deployment on NVIDIA, with no routing and no failover. Send it as the model field.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.
123456789101112131415from 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)
Reference
Specs and data terms
What the catalog reports for this deployment, and what the provider does with the traffic.
Public leaderboards
Benchmark scores
Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.
No benchmarks are published for this exact variant yet.
Region-specific deployments and highspeed tiers usually share scores with their base model. Try the base model page or the NVIDIA models overview.
Same provider
More from NVIDIA
Newest first, on the same provider and the same key.
Reference
nemotron-3.5-lightning-30b-a3b 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. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
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.
Call nemotron-3.5-lightning-30b-a3b through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.