gemma-4-31B-it vs Qwen2.5-VL-72B-Instruct

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

google · A · Open weights
Params
32.7 B
Context
—
30d
8.5 M
apache-2.0 · commercial OK
Qwen · B · Open weights
Params
73.4 B
Context
128,000
30d
89 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification gemma-4-31B-it Qwen2.5-VL-72B-Instruct
Deployment Open weights · also via API Open weights · also via API
Parameters 32.7 B 73.4 B
Architecture Gemma4ForConditionalGeneration Qwen2_5_VLForConditionalGeneration
Context length 262,144 128,000
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — 1
Downloads 30d 8,540,107 89,270
Downloads all time 69.2 M 7.7 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-03-11 2025-01-27
API input price / 1M tokens $0.20 $0.80
API output price / 1M tokens $0.40 $1.00
Est. cost per 1M input + 1M output tokens $0.60 $1.80
Cached input / 1M tokens — $0.40
AA Intelligence Index 14.7 —
AA Coding Index 43.4 —
AA Agentic Index 4.2 —
Max output tokens 16,384 115,200
API providers 12 1
Tool calling Yes No
Reasoning mode Yes No

API cost

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

gemma-4-31B-it $0.60
Qwen2.5-VL-72B-Instruct $1.80

gemma-4-31B-it is 3.0× cheaper at list price.

Download trend

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

12.4 M59 K
gemma-4-31B-it Qwen2.5-VL-72B-Instruct

VRAM side by side

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

gemma-4-31B-it · fp16 74.2 GB / 24 GB
❌ Won’t fit
Qwen2.5-VL-72B-Instruct · fp16 @ 125K ctx 334.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons