NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
The post-training data has a cutoff date of November 28, 2025\. The pre-training data has a cutoff date of June 25, 2025\.
Params
31.6 B
Context
262,144
Downloads 30d
1.6 M
Likes
840
Download history
daily snapshots · 106 days
▲ 659 K in the last 30 days (71.0%)
1.8 M940 K
Oct 12Oct 22Nov 1Nov 10
1.8 M648 K
Aug 13Sep 12Oct 12Nov 10
1.8 M648 K
Jul 28Sep 1Oct 6Nov 10
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 63.2 GB | 74.7 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 256K ctx | 63.2 GB | 221.6 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ curl -s https://aimodelscomparison.com/api/v1/models/nvidia-nemotron-3-nano-30b-a3b-bf16
{
"hf_id": "nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16",
"params_b": 31.58,
"context_length": 262144,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 1586743,
"vram_estimates": [
{ "quant": "bf16", "gb": 74.7 }
],
"updated_at": "2026-08-25T01:00:25Z"
}
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-11-10$0.06
input / 1M
$0.24
output / 1M
$0.012
cached input / 1M
$0.30
1M in + 1M out
- Context window
- 262,144 tokens
- Max output
- 235,929 tokens
- Providers
- 1
- Cheapest provider
- Nebius · $0.06 / $0.24
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / 14.4 / 1
✓ Tool calling
✓ Reasoning
✓ Structured outputs
✗ Image input
✗ File input
✗ Audio input
✓ Prompt caching
Specifications
- Architecture
- NemotronHForCausalLM
- Parameters
- 31.6 B
- Tensor type
- BF16
- Context length
- 262,144
- Vocabulary
- 131,072
- Layers / heads
- 52 / 32
- Licence
- other
- First seen on the Hub
- 2025-12-04
- Training datasets
- nvidia/Nemotron-Pretraining-Code-v1, nvidia/Nemotron-CC-v2, nvidia/Nemotron-Pretraining-SFT-v1, nvidia/Nemotron-CC-Math-v1, nvidia/Nemotron-Pretraining-Code-v2, nvidia/Nemotron-Pretraining-Specialized-v1, nvidia/Nemotron-CC-v2.1, nvidia/Nemotron-CC-Code-v1, nvidia/Nemotron-Pretraining-Dataset-sample, nvidia/Nemotron-Competitive-Programming-v1, nvidia/Nemotron-Math-v2, nvidia/Nemotron-Agentic-v1, nvidia/Nemotron-Math-Proofs-v1, nvidia/Nemotron-Instruction-Following-Chat-v1, nvidia/Nemotron-Science-v1, nvidia/Nemotron-3-Nano-RL-Training-Blend
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model