Gemma-4-31B-IT-NVFP4 vs Qwen2.5-Coder-32B-Instruct

Specs, VRAM requirements and download trends — updated 10 September 2026.

nvidia · A · Open weights
Params
20.9 B
Context
—
30d
922 K
Qwen · B · Open weights
Params
32.8 B
Context
32,768
30d
588 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Gemma-4-31B-IT-NVFP4 Qwen2.5-Coder-32B-Instruct
Deployment Open weights Open weights · also via API
Parameters 20.9 B 32.8 B
Architecture Gemma4ForConditionalGeneration Qwen2ForCausalLM
Context length — 32,768
Licence other apache-2.0
Commercial use Unknown Allowed
Languages — 1
Downloads 30d 921,928 588,474
Downloads all time 13.5 M 13.7 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-04-02 2024-11-06
API input price / 1M tokens not on OpenRouter $0.66
API output price / 1M tokens not on OpenRouter $1.00
Est. cost per 1M input + 1M output tokens not on OpenRouter $1.66
Cached input / 1M tokens not on OpenRouter —
AA Intelligence Index not on OpenRouter 6.7
AA Coding Index not on OpenRouter —
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 29,491
API providers not on OpenRouter 1
Tool calling not on OpenRouter No
Reasoning mode not on OpenRouter No

API cost

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

Qwen2.5-Coder-32B-Instruct $1.66

Download trend

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

2.8 M588 K
Gemma-4-31B-IT-NVFP4 Qwen2.5-Coder-32B-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-Coder-32B-Instruct · fp16 77.5 GB / 24 GB
❌ Won’t fit

Adjacent comparisons