Qwen3-14B vs NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16
Specs, VRAM requirements and download trends — updated 24 October 2026.
nvidia · B · Open weights
Params
31.6 B
Context
262,144
30d
743 K
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-14B | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 14.8 B | 31.6 B |
| Architecture | Qwen3ForCausalLM | NemotronHForCausalLM |
| Context length | 40,960 | 262,144 |
| Licence | apache-2.0 | other |
| Commercial use | Allowed | Unknown |
| Languages | — | 6 |
| Downloads 30d | 9,401,416 | 742,789 |
| Downloads all time | 38.0 M | 1.5 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2026-08-01 |
| API input price / 1M tokens | $0.12 | $0.07 |
| API output price / 1M tokens | $0.24 | $0.20 |
| Est. cost per 1M input + 1M output tokens | $0.36 | $0.27 |
| Cached input / 1M tokens | — | $0.04 |
| AA Intelligence Index | 6.7 | 12.9 |
| AA Coding Index | — | 26.8 |
| AA Agentic Index | — | 3.5 |
| Max output tokens | 16,384 | 235,929 |
| API providers | 2 | 4 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen3-14B
$0.36
NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16
$0.27
NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 is 1.3× cheaper at list price.
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
9.4 M364 K
Qwen3-14B
NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-14B · fp16
35.2 GB / 24 GB
NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 · fp16 @ 256K ctx
224.5 GB / 24 GB