Nemotron 3.5 Lightning with Jev
Nemotron 3.5 Lightning is a model from NVIDIA, released 2026-08-11. It costs $0.060 per million input tokens and $0.160 per million output tokens, reads up to 262K tokens of context, and writes up to 32,768 tokens in one reply. Through llm11, set model to nvidia/nemotron-3.5-lightning.
- Input price
- $0.060 / 1M
- Output price
- $0.160 / 1M
- Context window
- 262K tokens
- Max output
- 33K tokens
- Cached input
- $0.030 / 1M
- Released
- 2026-08-11
- Accepts
- text
- Intelligence index
- 12.9
Read from the provider's prompt cache
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 93% of the 332 priced models we can call cost more.
Using Nemotron 3.5 Lightning with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Nemotron 3.5 Lightning does the answering when Jev sends it work, or when you name it yourself. At list price Nemotron 3.5 Lightning falls in the llm11-fast band, but no pack routes to it because NVIDIA is not one of the labs the packs draw from. You can still pin it: pass nvidia/nemotron-3.5-lightning as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Nemotron 3.5 Lightning with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00006 | $0.062 |
| Question over retrieved documents | 4,000 / 500 | $0.00032 | $0.320 |
| Long document summary | 30,000 / 1,000 | $0.00196 | $1.96 |
Cheaper models to try
Nearest in price and below Nemotron 3.5 Lightning, each within a few points of it on the intelligence index.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| OpenAI gpt-oss-120b | $0.037 | $0.170 | 131K | 11.6 | |
| OpenAI gpt-oss-20b | $0.018 | $0.090 | 131K | 9 |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="nvidia/nemotron-3.5-lightning",
messages=[{"role": "user", "content": "Hello"}],
)More from NVIDIA
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Nemotron 3 Ultra | $0.600 | $2.40 | 262K | |
| Nemotron 3.5 Content Safety | $0.200 | $0.200 | 131K | |
| Nemotron 3 Super | $0.080 | $0.450 | 262K | |
| Nemotron 3 Nano 30B A3B | $0.050 | $0.200 | 262K |
Questions
- What is Nemotron 3.5 Lightning with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Nemotron 3.5 Lightning does the answering when Jev sends it work, or when you name it yourself. At list price Nemotron 3.5 Lightning falls in the llm11-fast band, but no pack routes to it because NVIDIA is not one of the labs the packs draw from. You can still pin it: pass nvidia/nemotron-3.5-lightning as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Nemotron 3.5 Lightning a System One model?
- No. Nemotron 3.5 Lightning answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Nemotron 3.5 Lightning cost?
- $0.060 per million input tokens and $0.160 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00032, so a thousand of them is about $0.320. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Nemotron 3.5 Lightning context window?
- 262,144 tokens, with up to 32,768 tokens in a single reply.
- Does Nemotron 3.5 Lightning support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Nemotron 3.5 Lightning through llm11?
- Yes. Set model to nvidia/nemotron-3.5-lightning on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Nemotron 3.5 Lightning?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Nemotron 3.5 Lightning falls in the llm11-fast band, but no pack routes to it because NVIDIA is not one of the labs the packs draw from. You can still pin it: pass nvidia/nemotron-3.5-lightning as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Nemotron 3.5 Lightning?
- Nearest in price and below it: OpenAI gpt-oss-120b at $0.037 in and $0.170 out and OpenAI gpt-oss-20b at $0.018 in and $0.090 out. Nearest in price and below Nemotron 3.5 Lightning, each within a few points of it on the intelligence index.