NVIDIA: Nemotron 3 Super
Analysis Summary
NVIDIA's Nemotron 3 Super is a value-oriented model with a 1M-token context and a useful combination of coding, agentic, and tool-use capability. Function calling supports integrations with business systems, while the context size is well suited to codebases, knowledge bases, and long operational documents. Its general reasoning is more limited than premium models, so complex judgment tasks need validation.
The pricing is a major advantage for high-volume agents, document processing, and routine software tasks. It can serve as a scalable first-pass model or routing target before escalating difficult requests to a stronger system. Choose it when throughput, context capacity, and API economics matter more than frontier-level reasoning.
Assessed September 7, 2026
Editorial notes
Nemotron 3 Super offers a million-token context, strong coding and agentic capability, tool calling, and exceptionally low pricing, with general reasoning remaining below flagship level.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Nemotron 3 Super offers a million-token context, strong coding and agentic capability, tool calling, and exceptionally low pricing, with general reasoning remaining below flagship level.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
25.4 Intelligence Index·37.7 Coding Index·48.3 Agentic Index
How NVIDIA: Nemotron 3 Super compares
NVIDIA: Nemotron 3 Super ranks #97 of 437 AI models we track for overall intelligence, #103 of 209 for coding, #24 of 191 for agentic tasks. Its 262K-token context window is larger than 71% of the models we list. At $0.09 per million input tokens it is cheaper than 70% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.09 | $0.000085 |
| Output | $0.40 | $0.000400 |
What would NVIDIA: Nemotron 3 Super cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 772 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save NVIDIA: Nemotron 3 Super for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout NVIDIA: Nemotron 3 Super
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..
Frequently asked questions about NVIDIA: Nemotron 3 Super
How much does NVIDIA: Nemotron 3 Super cost?
NVIDIA: Nemotron 3 Super costs $0.09 per million input tokens and $0.40 per million output tokens.
What is the context window of NVIDIA: Nemotron 3 Super?
NVIDIA: Nemotron 3 Super has a context window of 262,144 tokens (262K).
Is NVIDIA: Nemotron 3 Super good for coding?
On our coding benchmark index, NVIDIA: Nemotron 3 Super ranks #103 of 209 models, placing it in the broader range of the field for code generation and debugging.
What can NVIDIA: Nemotron 3 Super do?
NVIDIA: Nemotron 3 Super supports tool use and function calling.
Who created NVIDIA: Nemotron 3 Super?
NVIDIA: Nemotron 3 Super is developed by NVIDIA and was released on March 11, 2026.