NVIDIA: Nemotron 3 Nano 30B A3B
NVIDIA's efficiency model. Context window: 262K tokens.
Scores by test
Methodology →What you need to know
NVIDIA's Nemotron 3 Nano 30B A3B is optimized for high-precision data extraction and strategic reasoning. It achieves top-tier internal scores in tabular data processing, structured output, and faithfulness, making it highly reliable for transforming raw data into strict formats without introducing hallucinations. These capabilities are supported by a massive 262K context window, which allows for the analysis of extensive datasets in a single pass.
The model is priced aggressively for its capability set, with a blended cost of $0.163/MTok. This makes it a high-value option for developers who need the reasoning depth of a strategic analysis tool without the cost overhead of larger frontier models.
Performance is inconsistent across different task types. While it excels at complex analysis and multilingual support, it struggles with basic classification and constrained rewriting. Its tool-calling capabilities are mediocre, suggesting it is better suited as a reasoning engine than a primary agent controller.
Use this model for large-scale document analysis, structured data extraction, or strategic planning tasks requiring long-context windows. Skip this model if your primary requirement is high-accuracy classification, strict adherence to rewriting constraints, or heavy reliance on complex tool-calling chains.
Strengths — Top 3
Relative weaknesses — Bottom 3
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