Analysis Summary
Nemotron 3 Nano 30B A3B is NVIDIA's low-cost Nano model, providing a 262K context window, tool use, and function calling. Its supplied intelligence index is 14.5, with coding at 14.4 and agentic performance at 2, so the model is better understood as a volume utility than a reasoning or engineering flagship.
Potential uses include simple extraction, routing, tagging, template completion, and bounded API workflows where prompts are predictable and errors can be caught. It is not a good default for complex client strategy, autonomous agents, difficult coding, or nuanced customer-facing writing. The long context window helps with document payloads, but does not compensate for weak reasoning reliability.
At $0.05 per million input tokens and $0.20 per million output tokens, it is compelling for inexpensive routine automation. Use it behind validation, fallback routing, and clear action limits.
Assessed August 9, 2026
Editorial notes
The paid Nemotron 3 Nano 30B A3B offers a 262K context window, function calling, and exceptionally low pricing. Its limited intelligence, coding, and agentic results restrict it to lightweight automation and high-volume internal tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
The paid Nemotron 3 Nano 30B A3B offers a 262K context window, function calling, and exceptionally low pricing. Its limited intelligence, coding, and agentic results restrict it to lightweight automation and high-volume internal tasks.
How NVIDIA: Nemotron 3 Nano 30B A3B compares
NVIDIA: Nemotron 3 Nano 30B A3B ranks #219 of 425 AI models we track for overall intelligence, #157 of 198 for coding, #151 of 180 for agentic tasks. Its 262K-token context window is larger than 73% of the models we list. At $0.05 per million input tokens it is cheaper than 76% 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 technical 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 | $0.05 | $0.000050 |
| Output | $0.20 | $0.000200 |
What would NVIDIA: Nemotron 3 Nano 30B A3B 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 704 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save NVIDIA: Nemotron 3 Nano 30B A3B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout NVIDIA: Nemotron 3 Nano 30B A3B
NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully..
Explore Related Models
Frequently asked questions about NVIDIA: Nemotron 3 Nano 30B A3B
How much does NVIDIA: Nemotron 3 Nano 30B A3B cost?
NVIDIA: Nemotron 3 Nano 30B A3B costs $0.05 per million input tokens and $0.20 per million output tokens.
What is the context window of NVIDIA: Nemotron 3 Nano 30B A3B?
NVIDIA: Nemotron 3 Nano 30B A3B has a context window of 262,144 tokens (262K).
Is NVIDIA: Nemotron 3 Nano 30B A3B good for coding?
On our coding benchmark index, NVIDIA: Nemotron 3 Nano 30B A3B ranks #157 of 198 models, placing it in the broader range of the field for code generation and debugging.
What can NVIDIA: Nemotron 3 Nano 30B A3B do?
NVIDIA: Nemotron 3 Nano 30B A3B supports tool use and function calling.
Who created NVIDIA: Nemotron 3 Nano 30B A3B?
NVIDIA: Nemotron 3 Nano 30B A3B is developed by NVIDIA and was released on December 14, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 18, 2026 8:38 pm