Qwen3-32B vs NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
Specs, VRAM requirements and download trends — updated 10 November 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-32B | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 32.8 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 | 2,980,175 | 1,586,743 |
| Downloads all time | 62.7 M | 11.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2025-12-04 |
| API input price / 1M tokens | $0.08 | $0.06 |
| API output price / 1M tokens | $0.28 | $0.24 |
| Est. cost per 1M input + 1M output tokens | $0.36 | $0.30 |
| Cached input / 1M tokens | — | $0.012 |
| AA Intelligence Index | — | — |
| AA Coding Index | 15.3 | 14.4 |
| AA Agentic Index | 0.9 | 1 |
| Max output tokens | 16,384 | 235,929 |
| API providers | 3 | 1 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen3-32B
$0.36
NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
$0.30
NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 is 1.2× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
8.0 M648 K
Qwen3-32B
NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-32B · fp16
77.5 GB / 24 GB
NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 · fp16 @ 256K ctx
221.6 GB / 24 GB