Qwen2.5-72B-Instruct-AWQ vs MiniMax-M2.7

Specs, VRAM requirements and download trends — updated 4 August 2026.

Qwen · A · Open weights
Params
73.0 B
Context
32,768
30d
252 K
MiniMaxAI · B · Open weights
Params
228.7 B
Context
204,800
30d
302 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-72B-Instruct-AWQ MiniMax-M2.7
Deployment Open weights Open weights · also via API
Parameters 73.0 B 228.7 B
Architecture Qwen2ForCausalLM MiniMaxM2ForCausalLM
Context length 32,768 204,800
Licence other other
Commercial use Unknown Unknown
Languages 1 —
Downloads 30d 252,438 302,065
Downloads all time 12.5 M 8.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-17 2026-04-09
API input price / 1M tokens not on OpenRouter $0.21
API output price / 1M tokens not on OpenRouter $0.84
Est. cost per 1M input + 1M output tokens not on OpenRouter $1.05
Cached input / 1M tokens not on OpenRouter $0.042
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter 52.6
AA Agentic Index not on OpenRouter 15.3
Max output tokens not on OpenRouter 176,947
API providers not on OpenRouter 2
Tool calling not on OpenRouter Yes
Reasoning mode not on OpenRouter Yes

API cost

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

MiniMax-M2.7 $1.05

Download trend

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

1.5 M252 K
Qwen2.5-72B-Instruct-AWQ MiniMax-M2.7

VRAM side by side

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

Qwen2.5-72B-Instruct-AWQ · fp16 57.2 GB / 24 GB
❌ Won’t fit
MiniMax-M2.7 · fp16 @ 200K ctx 1,111.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons