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CPU-capable model ready

Gemma 4 31B

11 consumer GPUs can run Gemma 4 31B at Q4 natively. Precise VRAM thresholds and benchmarks below.

11 Compatible GPUs
18 with offloading
31B params
128K context
Javier Morales
Javier Morales AI Hardware Specialist — 8 years experience
GitHub: github.com/javier-morales-ia

llama.cpp 0.2.x · CUDA 12 · ROCm 6 · Updated monthly · methodology →

Execution Context

ARCHITECTURE TRANSFORMER
CONTEXT 128K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER Google
LICENSE Apache 2.0
Hardware Decision

This model requires a High-end GPU (24 GB VRAM)

Minimum

M3 Pro

Runs at Q4 — functional, some wait

18 GB VRAM
View compatible setup
Balanced

M4 Max 48GB

Best value for daily use

48 GB VRAM
View compatible setup
Optimal

RTX 5090

Full quality, fastest inference

32 GB VRAM
View compatible setup

*Prices and availability may change. Some links are affiliate links.

System Requirements

GPU VRAM 17.1 GB High-end GPU
System RAM 31 GB 32 GB recommended
Storage 15.5 GB Q4 · SSD recommended
CPU i7 → 1 tok/s Runs without GPU

VRAM by Quantization

Quantization VRAM needed Disk space Quality
FP16 (max quality) 68.2 GB 62 GB Maximum
Q8 (high quality) 34.1 GB 31 GB Near-lossless
Q4 (recommended) Best balance 17.1 GB 15.5 GB Recommended
Q2 (minimum) 8.5 GB 7.8 GB Quality loss

Model Details

Developer Google
Parameters 31B
Context window 128,000 tokens
License Apache 2.0
Use cases chat, vision, reasoning, coding, analysis
Released 2026-04

Install with Ollama

ollama run gemma4:31b

Hugging Face

google/gemma-4-31B
View on HF →
Technical Requirements

Can your GPU run Gemma 4 31B?

Gemma 4 31B requires 17.1 GB VRAM at Q4. 11 consumer GPUs meet this threshold. Below 8 GB or 15.100000000000001 GB you'll hit significant offload latency.

8.5GB Critical min
17.1GB Optimal Q4
34.1GB High Quality Q8
68.2GB Max FP16

Hardware Performance Matrix

11 Q4 native · 18 offload · 11 unsupported

GPU Unit VRAM Compatibility Est. Speed Action
RTX 5090 32GB Optimal Calculate →
RTX 4090 24GB Optimal Calculate →
M4 Ultra 128GB Optimal 26 tok/s Calculate →
M3 Ultra 192GB Optimal 19 tok/s Calculate →
RTX 3090 24GB Optimal Calculate →
M4 Max 48GB 48GB Optimal 13 tok/s Calculate →
RX 7900 XTX 24GB Optimal Calculate →
M4 Max 36GB 36GB Optimal Calculate →
RX 7900 XT 20GB Optimal Calculate →
M4 Pro 24GB Optimal Calculate →
M3 Pro 18GB Optimal Calculate →
RTX 5080 16GB Offload Calculate →
RTX 4080 Super 16GB Offload Calculate →
RTX 5070 Ti 16GB Offload Calculate →
RTX 4070 Ti Super 16GB Offload Calculate →
RTX 3080 Ti 12GB Offload Calculate →
RTX 5070 12GB Offload Calculate →
RTX 3080 10GB Offload Calculate →
RX 7800 XT 16GB Offload Calculate →
RX 6800 XT 16GB Offload Calculate →
RTX 4070 12GB Offload Calculate →
RTX 4060 Ti 16GB 16GB Offload Calculate →
RX 7700 XT 12GB Offload Calculate →
RX 6700 XT 12GB Offload Calculate →
RTX 2080 Ti 11GB Offload Calculate →
RTX 3060 12GB Offload Calculate →
M2 Pro 16GB Offload Calculate →
Arc A770 16GB 16GB Offload Calculate →
M1 Pro 16GB Offload Calculate →
RTX 3070 Ti 8GB N/A Calculate →
RTX 4060 Ti 8GB N/A Calculate →
RTX 3070 8GB N/A Calculate →
RTX 3060 Ti 8GB N/A Calculate →
RTX 4060 8GB N/A Calculate →
RX 7600 8GB N/A Calculate →
RX 6600 XT 8GB N/A Calculate →
Arc A750 8GB 8GB N/A Calculate →
RX 6600 8GB N/A Calculate →
RTX 3050 8GB 8GB N/A Calculate →
GTX 1660 Super 6GB N/A Calculate →

Recommended GPUs for Gemma 4 31B

Benchmarks Reales
Sin Reviews Pagadas
Seleccion Editorial
Basado en Datos

Best picks by compatibility, VRAM headroom, and value — prices and availability may change.

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Gemma 4 31B — Compatibility guide

Gemma 4 31B can run on CPU without a dedicated GPU — unusual for a 31B model. On an i7-13700K with llama.cpp Q4 it reaches 1 tok/s (slow but usable). With a GPU you get 4–6× more speed — check the VRAM calculator for specifics.

Compare GPUs for Gemma 4 31B

Which GPU is worth it? Real specs and benchmarks side by side.

Compatible Hardware

GPUs that run Gemma 4 31B at Q4 — sorted by AI performance score.

Benchmarks Reales
Sin Reviews Pagadas
Basado en Datos
RTX 5090
RTX 5090

NVIDIA · 32 GB VRAM

Q4 OK
> $1000
RTX 4090
RTX 4090

NVIDIA · 24 GB VRAM

Q4 OK
> $1000
M4 Ultra

Apple · 128 GB VRAM

Q4 OK
26 tok/s > $1000
M3 Ultra

Apple · 192 GB VRAM

Q4 OK
19 tok/s > $1000
RTX 3090
RTX 3090

NVIDIA · 24 GB VRAM

Q4 OK
$600–1000
M4 Max 48GB

Apple · 48 GB VRAM

Q4 OK
13 tok/s > $1000

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More Practical Alternatives

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Not sure which GPU you need for Gemma 4 31B?

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