DeepSeek-V3.2 vs Qwen3.8-2.4T-A95B

Specs, VRAM requirements and download trends — updated 24 October 2026.

deepseek-ai · A · Open weights
Params
685.4 B
Context
163,840
30d
5.4 M
mit · commercial OK
Qwen · B · Open weights
Params
2,446.2 B
Context
262,144
30d
25 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V3.2 Qwen3.8-2.4T-A95B
Deployment Open weights · also via API Open weights · also via API
Parameters 685.4 B 2,446.2 B
Architecture DeepseekV32ForCausalLM Qwen3_5MoeForCausalLM
Context length 163,840 262,144
Licence mit other
Commercial use Allowed Unknown
Languages — —
Downloads 30d 5,435,964 24,938
Downloads all time 30.4 M 101 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-12-01 2026-08-08
API input price / 1M tokens $0.28 $2.00
API output price / 1M tokens $0.42 $6.00
Est. cost per 1M input + 1M output tokens $0.70 $8.00
Cached input / 1M tokens $0.028 $0.25
AA Intelligence Index 21.5 39.9
AA Coding Index 44.2 71.9
AA Agentic Index — 50.1
Max output tokens 65,536 909,000
API providers 11 5
Tool calling Yes Yes
Reasoning mode Yes Yes

API cost

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

DeepSeek-V3.2 $0.70
Qwen3.8-2.4T-A95B $8.00

DeepSeek-V3.2 is 11.4× cheaper at list price.

Download trend

Daily snapshots, last 89 days (28 Jul – 24 Oct)

5.5 M25 K
DeepSeek-V3.2 Qwen3.8-2.4T-A95B

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
❌ Won’t fit
Qwen3.8-2.4T-A95B · fp16 @ 256K ctx 17,123.8 GB / 24 GB
❌ Won’t fit

Adjacent comparisons