Leaderboard / NVIDIA
Nemotron 3 Nano Omni 30B-A3B
NVIDIA · Nemotron 3 · released 2026-04-28 · data checked 2026-11-01 Needs verification
Nemotron 3 Nano Omni 30B-A3B is a 31.6B-parameter Mixture-of-Experts model (3.5B active per token) from NVIDIA (United States), released 2026-04-28 under the NVIDIA Open Model license. It doesn't have enough reported benchmarks for an index score yet. It needs about 22.4 GB of memory at 4-bit with an 8K-token context.
Benchmarks
Each bar shows this model's score. The tick marks the best medium model on that benchmark.
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Specifications
- Lab
- NVIDIA (US · United States)
- Architecture
- Mixture-of-Experts
- Total parameters
- 31.6B
- Active parameters
- 3.5B
- Size class
- Medium
- Context window
- 256K tokens
- Input modalities
- text, image, audio, video
- Reasoning
- Reasoning (thinking)
- License
- NVIDIA Open Model
- Openness
- Open weights
- Memory to run
- ~22.4 GB at 4-bit, 8K context (more sizes)
Compare with
- Nemotron 3 Nano Omni 30B-A3B vs Nemotron 3.5 Lightning (31.6B, index 63.6)
- Nemotron 3 Nano Omni 30B-A3B vs Nemotron 3 Nano 30B-A3B (31.6B, index 62.6)
- Nemotron 3 Nano Omni 30B-A3B vs EXAONE 4.0 32B (32B, index 62.0)
Sources
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Run it locally
No quantized build from a well-known publisher yet; check the model card for instructions.
Memory needed: weights, context cache and runtime buffers (context cache estimated: attention layout not published).
| Quantization | 4K context | 32K context | 256K context |
|---|---|---|---|
| 16-bit F16 | 65 GB | 73 GB | 131 GB |
| 8-bit Q8_0 | 36 GB | 43 GB | 101 GB |
| 4-bit Q4_K_M | 21 GB | 29 GB | 87 GB |