DeepSeek-R1 vs DeepSeek-V3.2
Specs, VRAM requirements and download trends — updated 10 November 2026.
deepseek-ai · A · Open weights
Params
684.5 B
Context
163,840
30d
1.6 M
mit · commercial OK
deepseek-ai · B · Open weights
Params
685.4 B
Context
163,840
30d
7.6 M
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | DeepSeek-R1 | DeepSeek-V3.2 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 684.5 B | 685.4 B |
| Architecture | DeepseekV3ForCausalLM | DeepseekV32ForCausalLM |
| Context length | 163,840 | 163,840 |
| Licence | mit | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 1,618,845 | 7,616,440 |
| Downloads all time | 51.3 M | 35.7 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-01-20 | 2025-12-01 |
| API input price / 1M tokens | $0.70 | $0.26 |
| API output price / 1M tokens | $2.50 | $0.38 |
| Est. cost per 1M input + 1M output tokens | $3.20 | $0.64 |
| Cached input / 1M tokens | — | $0.13 |
| AA Intelligence Index | 11.4 | — |
| AA Coding Index | 24.6 | 44.2 |
| AA Agentic Index | 1.1 | — |
| Max output tokens | 16,000 | 147,456 |
| API providers | — | 7 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
DeepSeek-R1
$3.20
DeepSeek-V3.2
$0.64
DeepSeek-V3.2 is 5.0× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
8.5 M649 K
DeepSeek-R1
DeepSeek-V3.2
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
DeepSeek-R1 · fp16 @ 160K ctx
2,811.5 GB / 24 GB
DeepSeek-V3.2 · fp16 @ 160K ctx
2,815.1 GB / 24 GB