Nemotron 3.5 Lightning
nemotron-3.5-lightningNVIDIA 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... Built by NVIDIA.
Prices updated
Input price
$0.05
per 1M tokens · Standard
Output price
$0.14
per 1M tokens · Standard
Input limit
262K
tokens
Output limit
33K
tokens
Input formats
Output formats
Nemotron 3.5 Lightning price history
8 price records since 9/25/2026 · 6 changes
Nemotron 3.5 Lightning cost calculator
$1.68/month
Standard pricing
Overview
What is Nemotron 3.5 Lightning?
Nemotron 3.5 Lightning is a text & reasoning model from 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... Its 262K context window and $0.05 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
Nemotron 3.5 Lightning benchmarks & speed
How Nemotron 3.5 Lightning scores on standardized evaluations, and where it lands among every model we track.
12.9
Intelligence Index
301tok/s
Output speed
Reasoning
GPQA Diamond
74.3%
Graduate-level scientific reasoning · top 65%
HLE
10.6%
Humanity's Last Exam · top 65%
Coding
SciCode
32.1%
Python for scientific computing · top 93%
Latency & design
- Time to first token
- 0.56s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Nemotron 3.5 Lightning pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.05
Per 1M tokens
Cached input · Standard
$0.02
Per 1M tokens
Capabilities
Nemotron 3.5 Lightning Tools
Tools available when using Nemotron 3.5 Lightning through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.05 per million tokens suits high-volume workloads.
- 262K context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider
