google / image-text-to-text Open weights Also via API updated 3 months ago

gemma-4-31B-it

Hugging Face GitHub Launch Blog Documentation Technical Report License: Apache 2.0 Authors: Google DeepMind

Params
32.7 B
Context
—
Downloads 30d
7.1 M
Likes
4,326
Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 106 days
▲ 2.5 M in the last 30 days (26.4%)
12.4 M7.1 M
Jul 28Sep 1Oct 6Nov 10

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors bf16 62.5 GB 74.2 GB ❌ Won’t fit
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Use via API

via OpenRouter · USD per 1M tokens · synced 2026-11-10
$0.20
input / 1M
$0.40
output / 1M
—
cached input / 1M
$0.60
1M in + 1M out
:free variant Free in · Free out
Context window
262,144 tokens
Max output
16,384 tokens
Providers
16
Cheapest provider
CoreWeave · $0.10 / $0.34
Best throughput
—
AA Intelligence / Coding / Agentic
4.4 / 43.4 / 4.2
✓ Tool calling ✓ Reasoning ✓ Structured outputs ✓ Image input ✗ File input ✗ Audio input ✗ Prompt caching

Specifications

Architecture
Gemma4ForConditionalGeneration
Parameters
32.7 B
Tensor type
BF16
Licence
apache-2.0
First seen on the Hub
2026-03-11
Training datasets
undisclosed
Added to our catalog
2026-07-28
Compare with any image-text-to-text model