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AI123AI ModelsnvidiaNemotron 3.5 Lightning
Nemotron 3.5 Lightning

Nemotron 3.5 Lightning

nvidia

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 benefit from domain-specific customization.

Modalities
TT
Input / output price
$0.07/$0.2per 1M tokens
Context
262K
Released
2026-08-11
PricingArtificial AnalysisRelated Models

Pricing

Usage prices in USD. Token rates are per one million tokens; other billing units are shown with each charge.
InputOutputCache read
$0.07/ 1M tokens$0.20/ 1M tokens$0.04/ 1M tokens

Artificial Analysis

Explore rankings
12.9

Intelligence index

Outperforms 40% of compared models

26.8

Coding index

Outperforms 29% of compared models

3.5

Agentic index

Outperforms 32% of compared models

Related Models

Nemotron 3.5 Super VL

Nemotron 3.5 Super VL

nvidia

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video as input and returns text, and is built for long-running agents that combine visual understanding with reasoning and tool use. It uses a hybrid Mamba-Transformer architecture with multi-token prediction and supports a 1M-token context. Typical uses include document intelligence, web research, coding validation, customer service, and video understanding. Reasoning is on by default and can be turned off or given a token budget.

Context
1.0M
Max output
235.9K
Released
2026-10-15
Input
$0.15/M
Output
$0.5/M
Cache read
$0.02/M
Nemotron 3 Ultra

Nemotron 3 Ultra

nvidia

NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it supports text input and output with a context window of up to 1M tokens. It is suited for long-running agentic workflows, including agent orchestration, coding agents, deep research, and complex enterprise tasks. It is particularly strong at multi-step reasoning and planning, with high-throughput inference designed for high-volume agent pipelines. It is part of the NVIDIA Nemotron family of open models for agentic AI.

Context
262K
Max output
182.5K
Released
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Input
$0.6/M
Output
$2.4/M
Cache read
$0.12/M
Nemotron 3 Super

Nemotron 3 Super

nvidia

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer Mixture-of-Experts architecture with multi-token prediction (MTP), it delivers over 50% higher token generation compared to leading open models. The model features a 1M token context window for long-term agent coherence, cross-document reasoning, and multi-step task planning. Latent MoE enables calling 4 experts for the inference cost of only one, improving intelligence and generalization. Multi-environment RL training across 10+ environments delivers leading accuracy on benchmarks including AIME 2025, TerminalBench, and SWE-Bench Verified. Fully open with weights, datasets, and recipes under the NVIDIA Open License, Nemotron 3 Super allows easy customization and secure deployment anywhere — from workstation to cloud.

Context
262K
Max output
235.9K
Released
2026-03-11
Input
$0.08/M
Output
$0.45/M
Cache read
N/A
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