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NVIDIA: NVIDIA: Nemotron 3.5 Lightning (free)

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...

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API record Report
InputT
OutputT
Input priceFree
Output priceFree
Context1M
Max output65.536K
Providers0
Inference availability

Providers

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Specification

Capabilities

Recorded from the source catalog and provider listings.

? Reasoning Unknown
? Tool calling Unknown
? Structured output Unknown
? Attachments Unknown
× Vision input No
? Open weights Unknown
Creator
NVIDIA
Model family
Not documented
Knowledge cutoff
Not documented
License
Not documented
Release date
Not documented
Model ID
nvidia/nemotron-3.5-lightning:free
Published evaluations

Benchmarks

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Benchmark registry
No published benchmark results

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Catalog activity

Change log

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Full change log
No changes recorded

This record has not changed within the retained import history.

Provenance

Sources & verification

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Methodology
Last verified
Aug 11, 2026
Status
Source-linked
Confidence
Medium
Catalog source
OpenRouter
Public API

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API documentation
Endpoint
GET https://www.modelbench.lol/api/v1/models/nvidia/nemotron-3.5-lightning:free
curl
curl "https://www.modelbench.lol/api/v1/models/nvidia/nemotron-3.5-lightning:free"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is NVIDIA: Nemotron 3.5 Lightning (free)?

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that. It is published by NVIDIA and catalogued here from OpenRouter.

How much does NVIDIA: Nemotron 3.5 Lightning (free) cost?

This model is documented as free to use at the listed providers.

What is the context length of NVIDIA: Nemotron 3.5 Lightning (free)?

NVIDIA: Nemotron 3.5 Lightning (free) accepts up to 1M tokens of context and returns up to 65.536K output tokens.

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