nvidia · Open weights
Nvidia Nemotron 3.5 Lightning TEE
NVIDIA's open-weight 30B mixture-of-experts model with 3B active parameters for fast agentic workflows, coding, and tool use. Running inside a TEE (Trusted Execution Environment), with provider attestation support.
- Reasoning
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Reasoning effort
- none · low · medium · high
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.08
- Output
- $0.20
- Cache read
- $0.04
Reference prices as published by the model provider. API example
Specifications
- Context window
- 262.1K
- Max output
- 65.5K
Side by side
Nvidia Nemotron 3.5 Lightning TEE compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Nvidia Nemotron 3.5 Lightning TEEnvidiaThis model | Nvidia Nemotron 3.5 LightningnvidiaRemove | |
|---|---|---|
| Provider | nvidia | nvidia |
| Discovery tier | Open weights | Open weights |
| Added | Sep 11, 2026 | Aug 12, 2026 |
| Limits | ||
| Context window | 262.14K | 1MBest |
| Max output | 65.54K | 65.54K |
| Average output | — | 228 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.08 | $0.05Best |
| Output | $0.20 | $0.20 |
| Cache read | $0.04 | $0.01Best |
| Performance | ||
| Throughput | — | 536.8 tok/s |
| Time to first token | — | 0.9 s |
| Request success (24h) | — | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 12.9 | 12.9 |
| Coding Index | 26.8 | 26.8 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Structured output | Yes | No |
| Parallel tools | No | Yes |
| Reasoning effort | none, low, medium, high | none, high |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Nvidia Nemotron 3.5 Lightning TEE
- Nvidia Nemotron 3.5 Lightning
Intelligence Index
- Nvidia Nemotron 3.5 Lightning TEE12.9
- Nvidia Nemotron 3.5 Lightning12.9
Nvidia Nemotron 3.5 Lightning TEE: Better than 30% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Nvidia Nemotron 3.5 Lightning TEE: 26.8Top
- Nvidia Nemotron 3.5 Lightning: 26.8Top
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Nvidia Nemotron 3.5 Lightning TEE: 0.8%Top
- Nvidia Nemotron 3.5 Lightning: 0.8%Top
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Nvidia Nemotron 3.5 Lightning TEE: 0.0%Top
- Nvidia Nemotron 3.5 Lightning: 0.0%Top
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Nvidia Nemotron 3.5 Lightning TEE: 506 EloTop
- Nvidia Nemotron 3.5 Lightning: 506 EloTop
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Nvidia Nemotron 3.5 Lightning TEE: 638 EloTop
- Nvidia Nemotron 3.5 Lightning: 638 EloTop
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Nvidia Nemotron 3.5 Lightning TEE: 3.0%Top
- Nvidia Nemotron 3.5 Lightning: 3.0%Top
AA-LCRv1.1
Reasoning across long documents
- Nvidia Nemotron 3.5 Lightning TEE: 60.3%Top
- Nvidia Nemotron 3.5 Lightning: 60.3%Top
MLCR-AA
Long-context reasoning over medical records
- Nvidia Nemotron 3.5 Lightning TEE: 2.2%Top
- Nvidia Nemotron 3.5 Lightning: 2.2%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Nvidia Nemotron 3.5 Lightning TEE: 10.6%Top
- Nvidia Nemotron 3.5 Lightning: 10.6%Top
GPQA Diamond
Graduate-level science questions
- Nvidia Nemotron 3.5 Lightning TEE: 74.3%Top
- Nvidia Nemotron 3.5 Lightning: 74.3%Top
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- Nvidia Nemotron 3.5 Lightning TEE: 0.5%Top
- Nvidia Nemotron 3.5 Lightning: 0.5%Top
SciCode
Scientific computing in Python
- Nvidia Nemotron 3.5 Lightning TEE: 32.1%Top
- Nvidia Nemotron 3.5 Lightning: 32.1%Top
Legacy evaluations
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Nvidia Nemotron 3.5 Lightning TEE: 60.3%Top
- Nvidia Nemotron 3.5 Lightning: 60.3%Top
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "TEE/nemotron-3.5-lightning",
"reasoning_effort": "medium",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="TEE/nemotron-3.5-lightning",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)nvidia
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