NVIDIA: Nemotron 3.5 Lightning
NVIDIA's mid-tier model. Context window: 262K tokens.
Scores by test
Methodology →What you need to know
NVIDIA Nemotron 3.5 Lightning is positioned as a high-utility, low-cost model that excels in precision and logical structuring. With a blended cost of $0.170/MTok, it offers an aggressive price point for developers who require high-fidelity structured output and strategic analysis without the overhead of frontier-class pricing.
The model demonstrates exceptional reliability in data-heavy and logical tasks, achieving perfect internal scores in structured output, tabular data, and faithfulness. Its 262K context window is fully utilized, as evidenced by a 5/5 score in long context performance, making it a viable candidate for large-document processing and complex strategic planning.
Performance is inconsistent in nuance-heavy tasks. It struggles with constrained rewriting and exhibits poor safety calibration, which typically manifests as over-refusing benign prompts. While it handles tool calling and agentic planning well, it is not as precise in these areas as it is with raw data extraction or classification.
Use this model if you need a budget-friendly option for processing large datasets, generating structured JSON/tables, or performing strategic analysis. Skip this model if your application requires strict adherence to complex rewriting constraints or if your user base frequently triggers over-sensitive safety filters.
Strengths — Top 3
Relative weaknesses — Bottom 3
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