NVIDIA Nemotron 3 Nano 30B A3B
NVIDIA Nemotron 3 Nano 30B A3B is an efficient hybrid model from the Nemotron-3 series, combining Mamba-2 with Transformer layers. With 31.6 billion total parameters, the model activates only 3.2 billion per token; the context window supports up to one million tokens. Optional thinking mode with configurable budget, native tool calls, and agentic capabilities out of the box. Available as an Open Weights model under the NVIDIA Open Model License.
- Open Weights
- Workstation
- OpenRouter
- Text
- Instruction-Tuned
- Agentic Orchestrator
- Interactive
Sovereign Risk: LOW Fully local inference possible without cloud connection. CLOUD Act is only relevant when using the API via NVIDIA infrastructure, not for local deployment of the publicly available weights.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 68.33
- Routine
- 41.16
- Reasoning
- 27.17
- LLM Judge Avg
- 3.42 / 5
- 100 Coverage
- Avg Task Duration
- 28.54s
- Interactive
- Token Rate
- 36.1tok/s
- Output Rate
- P95 Latency
- 94.41s
- Top 5 %
- Total Tokens
- 114000
- Output Volume
- Cost per 1K
- $0.0002
- USD / 1K Requests
- Benchmark Cost
- $0.02
- Total · 114000 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.