DeepSeek-V3.2 vs MiniMax-M2.5

Specs, VRAM requirements and download trends — updated 23 October 2026.

deepseek-ai · A · Open weights
Params
685.4 B
Context
163,840
30d
5.5 M
mit · commercial OK
MiniMaxAI · B · Open weights
Params
228.7 B
Context
196,608
30d
859 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V3.2 MiniMax-M2.5
Deployment Open weights · also via API Open weights · also via API
Parameters 685.4 B 228.7 B
Architecture DeepseekV32ForCausalLM MiniMaxM2ForCausalLM
Context length 163,840 196,608
Licence mit other
Commercial use Allowed Unknown
Languages — —
Downloads 30d 5,461,313 859,423
Downloads all time 30.3 M 5.8 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-12-01 2026-02-12
API input price / 1M tokens $0.28 $0.27
API output price / 1M tokens $0.42 $0.95
Est. cost per 1M input + 1M output tokens $0.70 $1.22
Cached input / 1M tokens $0.028 $0.03
AA Intelligence Index 21.5 22.8
AA Coding Index 44.2 —
AA Agentic Index — —
Max output tokens 65,536 32,768
API providers 12 7
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
MiniMax-M2.5 $1.22

DeepSeek-V3.2 is 1.7× cheaper at list price.

Download trend

Daily snapshots, last 88 days (28 Jul – 23 Oct)

5.5 M272 K
DeepSeek-V3.2 MiniMax-M2.5

VRAM side by side

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

MiniMax-M2.5 · fp16 @ 192K ctx 1,077.0 GB / 24 GB
❌ Won’t fit
DeepSeek-V3.2 · fp16 @ 160K ctx 2,815.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons