Models / Gemma 4 12B

Gemma 4 12B

consumer
HuggingFace → HuggingBay → Google → Find for my hardware

Smartest model in the 8-16GB class. Competes with models 2x larger. Gemma 4 generation with MTP support.

AI-generated content marks

The provider reports that this model does not add embedded watermarks or provenance metadata to generated output.

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coding reasoning chat general
Parameters
12.0B
Context
128k
License
other
Developer
Google
Origin
🇺🇸 USA
Released
Jun 2025

Scores

Coding
70
Reasoning
74
General
72

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Run it locally

Per-quant memory needs and a static "can you run it?" reference - no rig entry required

Q4_K_M
7.2GB 7.2GB min 8.5GB rec
Balanced - the usual local sweet spot
Q8_0
13.0GB 13.0GB min 14.0GB rec
Near-lossless

The reference hardware

Schematic of the 4x H100 80GB (320GB) reference rig - 320GB VRAM, 13400 GB/s aggregate bandwidth
Schematic of the NVIDIA DGX Station 748GB reference rig - 748GB unified memory, 8000 GB/s aggregate bandwidth
Schematic of the 8x RTX 3090 rack (192GB) reference rig - 192GB VRAM, 7489 GB/s aggregate bandwidth
Schematic of the 4x RTX 5090 (128GB) reference rig - 128GB VRAM, 7168 GB/s aggregate bandwidth
Schematic of the AMD Instinct MI300X (192GB) reference rig - 192GB VRAM, 5324 GB/s aggregate bandwidth
Schematic of the 4x RTX 4090 (96GB) reference rig - 96GB VRAM, 4032 GB/s aggregate bandwidth
Schematic of the 2x RTX 5090 (64GB) reference rig - 64GB VRAM, 3584 GB/s aggregate bandwidth
Schematic of the 2x RTX 3090 (48GB) reference rig - 48GB VRAM, 1872 GB/s aggregate bandwidth
Schematic of the Single RTX 5090 (32GB) reference rig - 32GB VRAM, 1792 GB/s aggregate bandwidth
Schematic of the RTX PRO 6000 Blackwell (96GB) reference rig - 96GB VRAM, 1792 GB/s aggregate bandwidth
Schematic of the Mac Studio M4 Ultra 192GB reference rig - 192GB unified memory, 1092 GB/s aggregate bandwidth
Schematic of the Mac Studio M4 Ultra 512GB reference rig - 512GB unified memory, 1092 GB/s aggregate bandwidth
Schematic of the Single RTX 4090 (24GB) reference rig - 24GB VRAM, 1008 GB/s aggregate bandwidth
Schematic of the MacBook Pro M5 Max 128GB reference rig - 128GB unified memory, 614 GB/s aggregate bandwidth
Schematic of the Single GTX 1080 Ti (11GB) reference rig - 11GB VRAM, 484 GB/s aggregate bandwidth
Schematic of the Dual EPYC 9004 + 768GB DDR5-4800 reference rig - 768GB unified memory, 460 GB/s aggregate bandwidth
Schematic of the DGX Spark 128GB unified reference rig - 128GB unified memory, 273 GB/s aggregate bandwidth
Schematic of the Ryzen AI Max+ 395 128GB reference rig - 128GB unified memory, 256 GB/s aggregate bandwidth
Schematic of the Jetson AGX Orin 64GB reference rig - 64GB unified memory, 204 GB/s aggregate bandwidth
Schematic of the Epyc + 512GB DDR4-3200 + 2x RTX 3090 reference rig - 560GB unified memory, 204 GB/s aggregate bandwidth
Schematic of the Epyc + 512GB DDR4-2400 + 2x RTX 3090 reference rig - 560GB unified memory, 153 GB/s aggregate bandwidth
Schematic of the NVIDIA Jetson Orin NX 16GB reference rig - 16GB unified memory, 102 GB/s aggregate bandwidth

22 reference configs, drawn in-house. Scroll for more.

Can you run it? - reference rigs

Rig Q4_K_M Q8_0
4x H100 80GB (320GB) fast 1023.4t/s fast 566.8t/s
NVIDIA DGX Station 748GB fast 611.0t/s fast 338.4t/s
8x RTX 3090 rack (192GB) fast 572.0t/s fast 316.8t/s
4x RTX 5090 (128GB) fast 547.4t/s fast 303.2t/s
AMD Instinct MI300X (192GB) fast 406.7t/s fast 225.3t/s
4x RTX 4090 (96GB) fast 307.9t/s fast 170.6t/s
2x RTX 5090 (64GB) fast 273.7t/s fast 151.6t/s
2x RTX 3090 (48GB) fast 143.0t/s fast 79.2t/s
Single RTX 5090 (32GB) fast 136.9t/s fast 75.8t/s
RTX PRO 6000 Blackwell (96GB) fast 136.9t/s fast 75.8t/s
Mac Studio M4 Ultra 192GB fast 91.0t/s fast 50.4t/s
Mac Studio M4 Ultra 512GB fast 91.0t/s fast 50.4t/s
Single RTX 4090 (24GB) fast 77.0t/s fast 42.6t/s
MacBook Pro M5 Max 128GB fast 51.2t/s fast 28.3t/s
Single GTX 1080 Ti (11GB) fast 37.0t/s offload
Dual EPYC 9004 + 768GB DDR5-4800 fast 35.2t/s ok 19.5t/s
DGX Spark 128GB unified fast 20.9t/s ok 11.6t/s
Ryzen AI Max+ 395 128GB ok 19.6t/s ok 10.8t/s
Jetson AGX Orin 64GB ok 15.6t/s ok 8.7t/s
Epyc + 512GB DDR4-3200 + 2x RTX 3090 ok 15.6t/s ok 8.7t/s
Epyc + 512GB DDR4-2400 + 2x RTX 3090 ok 11.7t/s slow 6.5t/s
NVIDIA Jetson Orin NX 16GB slow 7.8t/s slow 4.3t/s

Fit tiers use the same will-it-run logic as the rig finder. For comfortable fits, the badge reflects decode speed: fast >=20 t/s, ok 8-20 t/s, slow <8 t/s. t/s is a bandwidth estimate, not a measured benchmark.

Download options

Q4_K_M official -4% vs fp16
7.2GB dl 7.2GB min 8.5GB rec
REC RAM vs largest quant
Q8_0 official -1% vs fp16
13.0GB dl 13.0GB min 14.0GB rec
REC RAM vs largest quant

Or run it in the cloud

No per-token API provider pricing tracked for Gemma 4 12B yet. For flagship list prices, see the calculator.

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PRICE HISTORY

Inference cost over time

Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.

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