Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — you'll have ~13.3 GB of headroom running Gemma 4 31B at Q4_K_M (18.71625 GB, ~4 tok/s (est.)) with room for up to 32K context.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 32 GB unified memory |
| Memory Bandwidth | 153 GB/s |
| Quant | VRAM needed | Fits 32 GB? | Max context |
|---|---|---|---|
| F16 | 63.7 GB | ✗ No | — |
| Q8_0 | 34.6 GB | ✗ No | — |
| Q6_K | 27.1 GB | ✓ Yes | 16K |
| Q5_K_M | 23.7 GB | ✓ Yes | 32K |
| Q4_K_M | 20.4 GB | ✓ Yes | 32K |
| Q3_K_M | 14.9 GB | ✓ Yes | 64K |
| Q2_K | 11.9 GB | ✓ Yes | 64K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 32 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Gemma 4 31B | Q4_K_M · 18.71625 GB · ~4 tok/s (est.) |
| Gemma 4 26B-A4B | Q4_K_M · 15.6975 GB · ~24 tok/s (est.) |
| Gemma 4 12B (Unified) | Q4_K_M · 7.245 GB · ~10 tok/s (est.) |
| Gemma 4 E4B | Q4 (QAT) · 4.5 GB · ~16 tok/s (est.) |
| Gemma 4 E2B | Q4 (QAT) · 2.86875 GB · ~23 tok/s (est.) |
At 2 hrs/day, buying (~$1,599) beats renting at $0.34/hr after about 6.5 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~13.3 GB of headroom running Gemma 4 31B at Q4_K_M (18.71625 GB, ~4 tok/s (est.)) with room for up to 32K context.
Gemma 4 31B at Q4_K_M quantization (18.71625 GB), estimated ~4 tokens/sec, up to 32K context.
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