nemotron-lightning-3.5-30b-a3bNVIDIA
- endpoints
- 1
- regions
- 1
- api
- chat
- released
- August 2026
capabilities 4/8
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 1 | Global | 262K | $0.05 | $0.20 | $0.01 | zdr |
no measured traffic for this model yet. the endpoints table above carries provider pricing
no published benchmark scores for this model
nemotron-lightning-3.5-30b-a3brequesty routes this id across every provider serving nemotron-lightning-3.5-30b-a3b, picking on price and health and failing over automatically. the id stays valid when a provider changes underneath it
Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.
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="nemotron-lightning-3.5-30b-a3b", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models
Nemotron-Lightning-3.5-30B-A3B is a 30B-parameter Mixture-of-Experts language model (3B active) from NVIDIA's Nemotron-H family, built on a hybrid Mamba-Transformer architecture for efficient long-context inference. Like other models in the family, it responds to queries by first generating a reasoning trace and then concluding with a final response, with reasoning behavior configurable through a flag in the chat template. It includes a multi-token prediction (MTP) speculative decoding head for low-latency serving.
questions 6
Which providers serve nemotron-lightning-3.5-30b-a3b?
How much does nemotron-lightning-3.5-30b-a3b cost?
Is nemotron-lightning-3.5-30b-a3b open weights?
What is the context window of nemotron-lightning-3.5-30b-a3b?
How do I use nemotron-lightning-3.5-30b-a3b with the OpenAI SDK?
Should I call nemotron-lightning-3.5-30b-a3b by its managed id or a provider id?
more from nvidia 6
| model | context | from /M | providers |
|---|---|---|---|
| nemotron-3.5-lightning-30b-a3b | 1.0M | free | 1 |
| nvidia-nemotron-3-ultra | 262K | $0.37 | 1 |
| nemotron-3.5-content-safety | 131K | free | 1 |
| nemotron-3-ultra-nvfp4 | 262K | $0.60 | 1 |
| nemotron-3-nano-omni-30b-a3b-reasoning | 131K | free | 1 |
| nemotron-3-ultra-550b-a55b | 1.0M | free | 2 |
route nemotron-lightning-3.5-30b-a3b through one endpoint
One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology
