DeepSeek-V3.2 vs DeepSeek-V3-0324

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
deepseek-ai · B · Open weights
Params
684.5 B
Context
163,840
30d
150 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V3.2 DeepSeek-V3-0324
Deployment Open weights · also via API Open weights · also via API
Parameters 685.4 B 684.5 B
Architecture DeepseekV32ForCausalLM DeepseekV3ForCausalLM
Context length 163,840 163,840
Licence mit mit
Commercial use Allowed Allowed
Languages — —
Downloads 30d 7,616,440 149,937
Downloads all time 35.7 M 10.5 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-12-01 2025-03-24
API input price / 1M tokens $0.26 $0.29
API output price / 1M tokens $0.38 $1.14
Est. cost per 1M input + 1M output tokens $0.64 $1.43
Cached input / 1M tokens $0.13 $0.11
AA Intelligence Index — —
AA Coding Index 44.2 21.2
AA Agentic Index — 0.8
Max output tokens 147,456 115,200
API providers 7 2
Tool calling Yes Yes
Reasoning mode Yes No

API cost

Estimated cost of 1M input + 1M output tokens via OpenRouter

DeepSeek-V3.2 $0.64
DeepSeek-V3-0324 $1.43

DeepSeek-V3.2 is 2.2× cheaper at list price.

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

7.6 M150 K
DeepSeek-V3.2 DeepSeek-V3-0324 A overtook B on 17 Aug

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

DeepSeek-V3-0324 · fp16 @ 160K ctx 2,811.5 GB / 24 GB
❌ Won’t fit
DeepSeek-V3.2 · fp16 @ 160K ctx 2,815.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons