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

gemma-4-26B-A4B-it

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

Params
26.5 B
Context
—
Downloads 30d
5.5 M
Likes
1,750
Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 106 days
▲ 6.3 M in the last 30 days (53.5%)
13.1 M5.5 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 51.6 GB 61.3 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
$0.08
input / 1M
$0.10
output / 1M
$0.046
cached input / 1M
$0.18
1M in + 1M out
:free variant Free in · Free out
Context window
256,000 tokens
Max output
128,000 tokens
Providers
15
Cheapest provider
PrimeIntellect · $0.031 / $0.092
Best throughput
—
AA Intelligence / Coding / Agentic
— / 39.3 / 2.9
✓ Tool calling ✓ Reasoning ✓ Structured outputs ✓ Image input ✗ File input ✗ Audio input ✓ Prompt caching

Specifications

Architecture
Gemma4ForConditionalGeneration
Parameters
26.5 B
Tensor type
BF16
Licence
apache-2.0
First seen on the Hub
2026-03-11
Base model
gemma-4-26B-A4B
Training datasets
undisclosed
Added to our catalog
2026-07-28
Compare with any image-text-to-text model