Gemma-4-31B-IT-NVFP4 vs Qwen2.5-72B-Instruct

Specs, VRAM requirements and download trends — updated 6 August 2026.

nvidia · A · Open weights
Params
20.9 B
Context
—
30d
1.1 M
Qwen · B · Open weights
Params
72.7 B
Context
32,768
30d
167 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Gemma-4-31B-IT-NVFP4 Qwen2.5-72B-Instruct
Deployment Open weights Open weights · also via API
Parameters 20.9 B 72.7 B
Architecture Gemma4ForConditionalGeneration Qwen2ForCausalLM
Context length — 32,768
Licence other other
Commercial use Unknown Unknown
Languages — 1
Downloads 30d 1,136,331 166,748
Downloads all time 14.3 M 9.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-04-02 2024-09-16
API input price / 1M tokens not on OpenRouter $0.36
API output price / 1M tokens not on OpenRouter $0.40
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.76
Cached input / 1M tokens not on OpenRouter —
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter —
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 16,384
API providers not on OpenRouter 1
Tool calling not on OpenRouter Yes
Reasoning mode not on OpenRouter No

API cost

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

Qwen2.5-72B-Instruct $0.76

Download trend

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

2.4 M167 K
Gemma-4-31B-IT-NVFP4 Qwen2.5-72B-Instruct

VRAM side by side

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

Gemma-4-31B-IT-NVFP4 · fp16 39.5 GB / 24 GB
❌ Won’t fit
Qwen2.5-72B-Instruct · fp16 171.4 GB / 24 GB
❌ Won’t fit

Adjacent comparisons