NVIDIA: Nemotron 3 Super
Analysis Summary
NVIDIA's Nemotron 3 Super is a text model designed for capable tool-enabled work, with function calling and a 262K context window. Its coding and agentic measurements are stronger than its overall intelligence index, and its instruction-following and long-context results support practical structured workflows. The supplied data positions it as a capable specialist rather than a leading all-purpose reasoning model.
For businesses, it is a credible option for coding assistance, tool-using agents, and document workflows that benefit from a large context. Its low listed input and output prices make it suitable for higher-volume use when benchmark quality is sufficient. The measured tau2 result is less compelling than its agentic index, so teams should test the exact tool sequences they plan to automate. It is worth piloting as a value-oriented agent and coding tier, not as the sole model for high-stakes complex reasoning.
Assessed September 23, 2026
Editorial notes
Nemotron 3 Super combines strong coding and agentic results with tool calling, a 262K context, and low listed pricing; its overall reasoning remains below flagship level.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Nemotron 3 Super combines strong coding and agentic results with tool calling, a 262K context, and low listed pricing; its overall reasoning remains below flagship level.
Benchmarks
Artificial Analysis data refreshed Oct 15, 2026. Arena ratings from the Oct 13, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How NVIDIA: Nemotron 3 Super compares
NVIDIA: Nemotron 3 Super ranks #128 of 439 AI models we track for overall intelligence, #103 of 198 for coding, #31 of 181 for agentic tasks. Its 262K-token context window is larger than 75% of the models we list. At $0.08 per million input tokens it is cheaper than 67% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000080 |
| Output | $0.45 | $0.000450 |
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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 $0.08 per million input tokens and $0.45 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 198 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.