DeepSeek-V3.2 vs MiMo-V2.5

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
XiaomiMiMo · B · Open weights
Params
310.8 B
Context
1,048,576
30d
137 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V3.2 MiMo-V2.5
Deployment Open weights · also via API Open weights · also via API
Parameters 685.4 B 310.8 B
Architecture DeepseekV32ForCausalLM MiMoV2ForCausalLM
Context length 163,840 1,048,576
Licence mit mit
Commercial use Allowed Allowed
Languages — 2
Downloads 30d 7,616,440 136,910
Downloads all time 35.7 M 1.6 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-12-01 2026-04-27
API input price / 1M tokens $0.26 $0.40
API output price / 1M tokens $0.38 $2.00
Est. cost per 1M input + 1M output tokens $0.64 $2.40
Cached input / 1M tokens $0.13 $0.08
AA Intelligence Index — —
AA Coding Index 44.2 56.8
AA Agentic Index — 15.8
Max output tokens 147,456 65,536
API providers 7 1
Tool calling Yes Yes
Reasoning mode Yes Yes

API cost

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

DeepSeek-V3.2 $0.64
MiMo-V2.5 $2.40

DeepSeek-V3.2 is 3.8× cheaper at list price.

Download trend

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

7.6 M137 K
DeepSeek-V3.2 MiMo-V2.5

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
MiMo-V2.5 · fp16 @ 1024K ctx 6,314.7 GB / 24 GB
❌ Won’t fit

Adjacent comparisons