DeepSeek-V3.2 vs Llama-3.1-405B-FP8
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
meta-llama · B · Open weights
Params
405.9 B
Context
—
30d
465 K
llama3.1 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | DeepSeek-V3.2 | Llama-3.1-405B-FP8 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights |
| Parameters | 685.4 B | 405.9 B |
| Architecture | DeepseekV32ForCausalLM | LlamaForCausalLM |
| Context length | 163,840 | — |
| Licence | mit | llama3.1 |
| Commercial use | Allowed | Conditional |
| Languages | — | 8 |
| Downloads 30d | 7,616,440 | 465,185 |
| Downloads all time | 35.7 M | 2.7 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | Yes — accept licence |
| First seen on the Hub | 2025-12-01 | 2024-07-20 |
| API input price / 1M tokens | $0.26 | not on OpenRouter |
| API output price / 1M tokens | $0.38 | not on OpenRouter |
| Est. cost per 1M input + 1M output tokens | $0.64 | not on OpenRouter |
| Cached input / 1M tokens | $0.13 | not on OpenRouter |
| AA Intelligence Index | — | not on OpenRouter |
| AA Coding Index | 44.2 | not on OpenRouter |
| AA Agentic Index | — | not on OpenRouter |
| Max output tokens | 147,456 | not on OpenRouter |
| API providers | 7 | not on OpenRouter |
| Tool calling | Yes | not on OpenRouter |
| Reasoning mode | Yes | not on OpenRouter |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
DeepSeek-V3.2
$0.64
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
7.6 M452 K
DeepSeek-V3.2
Llama-3.1-405B-FP8
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Llama-3.1-405B-FP8 · fp16
597.3 GB / 24 GB
DeepSeek-V3.2 · fp16 @ 160K ctx
2,815.1 GB / 24 GB