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Gemma 4 31B

google · Apache 2.0 license · on Arena since 31 Mar 2026

Free API Lab chat Download
Arena score1443#67 of 416 in Chat, paid models included
Size31.3 Bparameters
4-bit download19 GBweights only, Q4_K_M
Max context256Ktokens, from the model config

Where to use it for free

Arena scores

ArenaScoreRankVotes
Chat1443#67 of 4166K
Coding1367#106 of 14414K
Vision1277#38 of 16540K

Rank among all models, paid ones included. Source: Arena leaderboard dataset.

Speed on popular hardware

HardwareGPU memoryFits?Speed
RTX 3060 12 GB12 GBGPU + 64 GB RAM4.5 tok/s
RTX 4060 Ti 16 GB16 GBGPU + 64 GB RAM4.9 tok/s
RTX 309024 GBGPU + 64 GB RAM17 tok/s
RTX 409024 GBGPU + 64 GB RAM18 tok/s
RTX 509032 GBFits in GPU50 tok/s
RX 7900 XTX24 GBGPU + 64 GB RAM17 tok/s
2 × RTX 309048 GBFits in GPU25 tok/s
4 × RTX 309096 GBFits in GPU24 tok/s
Mac M4 Max 128 GB96 GBFits in GPU15 tok/s
Ryzen AI Max+ 395 128 GB96 GBFits in GPU7.1 tok/s
8 × H100 SXM640 GBFits in GPU77 tok/s

Estimate at 4-bit with 32K context, 64 GB of DDR5 for offload. Speed ≈ memory bandwidth × 70% ÷ data read per token; real numbers vary by about ±30%.

GPU memory needed

Level8K context32K context128K contextQuality vs full
Q3_K_M18 GB22 GB39 GB+6.9% noticeable loss
Q4_K_M22 GB26 GB42 GB+1.8% small loss
Q5_K_M25 GB29 GB45 GB+0.6% near-lossless
Q6_K28 GB32 GB49 GB+0.2% near-lossless
Q8_036 GB40 GB56 GB≈ 0% same as full
F1665 GB69 GB86 GB≈ 0% same as full

Weights + context cache (from the model's architecture) + runtime. Quality: increase in perplexity against the full model, from llama.cpp tests, scaled by model size. Simulate your own setup.

Chat score over time

Gemma 4 31B 1443Best paid model

Arena score from 17 Apr 2026 to 15 Oct 2026.

Vision score over time

Gemma 4 31B 1277Best paid model

Arena score from 10 Apr 2026 to 9 Oct 2026.

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