Will It Run AI

GoogleGoogle

Gemma 4 31B

Frontier
Apr 2026Publicado256K tokensContextoApache-2.0Licença86 ForteQualidade

Gemma 4 31B (30.700000762939453B parameters) requires approximately 35.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 41 GB of VRAM.

Comece agora

— copie e cole para rodar localmente

Copy-paste commands to run Gemma 4 31B on your machine.

Run

ollama run gemma4:31b

Quick specs

Parameters30.7B
Architecturedense
Context256K tokens
Modalitytext
Min RAM12 GB
Rec. RAM18.7 GB (Q4_K_M)
LicenseApache-2.0
FamilyGemma
Code Chat Reasoning

About this model

Gemma 4 31B is the largest and most capable open Gemma model. Dense architecture with 30.7B parameters. 256K context window. Achieves 2150 Codeforces ELO and 89.2% AIME 2026. Apache 2.0 licensed.

  • Highest quality open Gemma model
  • 256K context window
  • 2150 Codeforces ELO
  • Apache 2.0 license
  • 89.2% AIME 2026

Modelos relacionados

Seu hardware

Detectando...

Escolhas rápidas

Melhor hardware

Melhores opções para Gemma 4 31B

Rodar este modelo

Opções de quantização

Estimativas de VRAM por nível de quantização

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
12.0 GB
Low
Q3_K_S
3
15.0 GB
Low
NVFP4
4
17.2 GB
Medium
Q4_K_M
4
18.7 GB
Medium
Q5_K_M
5
22.1 GB
High
Q6_K
6
25.2 GB
High
Q8_0
8
32.8 GB
Very High
F16
16
62.9 GB
Maximum

Quality benchmarks

Gemma 4 31B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+
Aider Polyglot
LiveCodeBench80.0%

Reasoning

MMLU-Pro85.2%
GPQA Diamond84.3%
MATH-500
ARC Challenge

Source: official · 2026-04-02

Compatibilidade de hardware

Estimativas de compatibilidade para todo o hardware

Abrir calculadora

Computing compatibility...

Detalhamento de memória

Reference: RTX 2060 6GB

Weights18.7 GB
KV Cache14.6 GB
Runtime1.2 GB
Headroom0.6 GB

Perguntas frequentes

FAQ — Gemma 4 31B

Veja também