NVIDIA-Nemotron-3-Nano-4B-BF16 vs Qwen3-14B
Specs, VRAM requirements and download trends — updated 10 November 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | NVIDIA-Nemotron-3-Nano-4B-BF16 | Qwen3-14B |
|---|---|---|
| Deployment | Open weights | Open weights · also via API |
| Parameters | 4.0 B | 14.8 B |
| Architecture | NemotronHForCausalLM | Qwen3ForCausalLM |
| Context length | 262,144 | 40,960 |
| Licence | other | apache-2.0 |
| Commercial use | Unknown | Allowed |
| Languages | 1 | — |
| Downloads 30d | 1,876,232 | 12,904,408 |
| Downloads all time | 10.3 M | 46.1 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-03-07 | 2025-04-27 |
| API input price / 1M tokens | not on OpenRouter | $0.10 |
| API output price / 1M tokens | not on OpenRouter | $0.22 |
| Est. cost per 1M input + 1M output tokens | not on OpenRouter | $0.32 |
| Cached input / 1M tokens | not on OpenRouter | — |
| AA Intelligence Index | not on OpenRouter | — |
| AA Coding Index | not on OpenRouter | 13.8 |
| AA Agentic Index | not on OpenRouter | 0.9 |
| Max output tokens | not on OpenRouter | 36,864 |
| API providers | not on OpenRouter | 2 |
| Tool calling | not on OpenRouter | Yes |
| Reasoning mode | not on OpenRouter | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen3-14B
$0.32
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
13.0 M378 K
NVIDIA-Nemotron-3-Nano-4B-BF16
Qwen3-14B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
NVIDIA-Nemotron-3-Nano-4B-BF16 · fp16 @ 256K ctx
28.3 GB / 24 GB
Qwen3-14B · fp16
35.2 GB / 24 GB