DeepSeek-V3.2 vs NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
Specs, VRAM requirements and download trends — updated 10 November 2026.
deepseek-ai · A · Open weights
Params
685.4 B
Context
163,840
30d
7.6 M
mit · commercial OK
nvidia · B · Open weights
Params
560.5 B
Context
262,144
30d
1.1 M
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | DeepSeek-V3.2 | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 685.4 B | 560.5 B |
| Architecture | DeepseekV32ForCausalLM | NemotronHForCausalLM |
| Context length | 163,840 | 262,144 |
| Licence | mit | other |
| Commercial use | Allowed | Unknown |
| Languages | — | 12 |
| Downloads 30d | 7,616,440 | 1,067,799 |
| Downloads all time | 35.7 M | 2.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-12-01 | 2026-06-03 |
| API input price / 1M tokens | $0.26 | $0.60 |
| API output price / 1M tokens | $0.38 | $2.40 |
| Est. cost per 1M input + 1M output tokens | $0.64 | $3.00 |
| Cached input / 1M tokens | $0.13 | $0.12 |
| AA Intelligence Index | — | 11.8 |
| AA Coding Index | 44.2 | 49.3 |
| AA Agentic Index | — | 20.1 |
| Max output tokens | 147,456 | 182,520 |
| API providers | 7 | 3 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
DeepSeek-V3.2
$0.64
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
$3.00
DeepSeek-V3.2 is 4.7× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
7.6 M213 K
DeepSeek-V3.2
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
DeepSeek-V3.2 · fp16 @ 160K ctx
2,815.1 GB / 24 GB
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 · fp16 @ 256K ctx
3,924.2 GB / 24 GB