Nemotron 3 Super with Jev
Nemotron 3 Super is a model from NVIDIA, released 2026-03-11. It costs $0.080 per million input tokens and $0.450 per million output tokens, reads up to 262K tokens of context, and writes up to 235,929 tokens in one reply. Through llm11, set model to nvidia/nemotron-3-super-120b-a12b.
- Input price
- $0.080 / 1M
- Output price
- $0.450 / 1M
- Context window
- 262K tokens
- Max output
- 236K tokens
- Released
- 2026-03-11
- Accepts
- text
- Intelligence index
- 12.8
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 80% of the 332 priced models we can call cost more.
Using Nemotron 3 Super 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 Super does the answering when Jev sends it work, or when you name it yourself. At list price Nemotron 3 Super 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-super-120b-a12b as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Nemotron 3 Super 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 | $0.00013 | $0.130 |
| Question over retrieved documents | 4,000 / 500 | $0.00055 | $0.545 |
| Long document summary | 30,000 / 1,000 | $0.00285 | $2.85 |
Cheaper models to try
Nearest in price and below Nemotron 3 Super, each within a few points of it on the intelligence index.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| Qwen Qwen3.5-9B | $0.100 | $0.150 | 262K | 11.2 | |
| DeepSeek DeepSeek V4 Flash 0423 | $0.076 | $0.153 | 1.05M | 24.2 | |
| DeepSeek DeepSeek V4 Flash 0731 | $0.018 | $0.320 | 1.31M | 34.3 | |
| OpenAI gpt-oss-120b | $0.037 | $0.170 | 131K | 11.6 |
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-super-120b-a12b",
messages=[{"role": "user", "content": "Hello"}],
)More from NVIDIA
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Nemotron 3.5 Lightning | $0.060 | $0.160 | 262K | |
| Nemotron 3 Ultra | $0.600 | $2.40 | 262K | |
| Nemotron 3.5 Content Safety | $0.200 | $0.200 | 131K | |
| Nemotron 3 Nano 30B A3B | $0.050 | $0.200 | 262K |
Questions
- What is Nemotron 3 Super 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 Super does the answering when Jev sends it work, or when you name it yourself. At list price Nemotron 3 Super 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-super-120b-a12b 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 Super a System One model?
- No. Nemotron 3 Super 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 Super cost?
- $0.080 per million input tokens and $0.450 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00055, so a thousand of them is about $0.545. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Nemotron 3 Super context window?
- 262,144 tokens, with up to 235,929 tokens in a single reply.
- Does Nemotron 3 Super support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Nemotron 3 Super through llm11?
- Yes. Set model to nvidia/nemotron-3-super-120b-a12b on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Nemotron 3 Super?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Nemotron 3 Super 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-super-120b-a12b as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Nemotron 3 Super?
- Nearest in price and below it: Qwen Qwen3.5-9B at $0.100 in and $0.150 out, DeepSeek DeepSeek V4 Flash 0423 at $0.076 in and $0.153 out and DeepSeek DeepSeek V4 Flash 0731 at $0.018 in and $0.320 out. Nearest in price and below Nemotron 3 Super, each within a few points of it on the intelligence index.