Gemma 4 26B-A4B hardware requirements
About the model
- Parameters
- 26.54B total · 4B active (MoE)
- Attention
- Sliding-window attention
- Max context
- 262,144 tokens
- Released
- 2026-04-01
- Model card
- Gemma 4 26B-A4B on Hugging Face
GGUF files
| Quant | File size | Quality | Published by |
|---|---|---|---|
| UD-Q2_K_XL | 10.55 GB | Heavy loss | Community GGUF · unsloth |
| Q4_K_Mbaseline | 16.95 GB | Good balance | Community GGUF · unsloth |
| Q8_0 | 26.86 GB | Near-lossless | Community GGUF · unsloth |
File sizes do not include the vision projector (mmproj) that image input needs.
Some repositories publish only Unsloth Dynamic (UD) variants; sizes are those of the file you would download.
Memory needed by quant and context
| Quant | 4k | 8k | 16k | 32k | 64k | 128k | 256k |
|---|---|---|---|---|---|---|---|
| UD-Q2_K_XL | 11.3 | 11.5 | 11.9 | 12.7 | 14.3 | 17.6 | 24.2 |
| Q4_K_M | 17.7 | 17.9 | 18.3 | 19.1 | 20.7 | 24.0 | 30.6 |
| Q8_0 | 27.6 | 27.8 | 28.2 | 29.0 | 30.6 | 33.9 | 40.5 |
Which GPUs can run Gemma 4 26B-A4B?
How to read the verdicts
- Runs great
- Fully on the GPU at 20 tok/s or more
- Runs well
- Fully on the GPU at 8–20 tok/s; MoE experts in system RAM at 20 tok/s or more; or at least 90% on the GPU at 8 tok/s or more
- Runs slowly
- 2–8 tok/s; CPU-only; less than 90% on the GPU; or MoE experts in system RAM below 20 tok/s
- Won't run
- Does not fit, or under 2 tok/s
Dense models split between GPU and CPU slow down sharply — the CPU side sets the pace. MoE models that keep only their experts in system RAM degrade far more gently.
Scroll sideways to see every column.
| Hardware | Verdict | Speed | Quant | Memory | Runs as | Context | Notes | Price |
|---|---|---|---|---|---|---|---|---|
| GeForce RTX 5090 | Runs great | est. 235.0 tok/s188.0–282.0calibrated estimate ±20% | Q4_K_M | 18.5 / 32.0 GB | Full GPU | up to 256k | — | $4,200 street (as of 2026-08-09) |
| Radeon RX 7900 XTX | Runs great | est. 166.1 tok/s132.9–199.3calibrated estimate ±20% | Q4_K_M | 18.5 / 24.0 GB | Full GPU | up to 64k | — | $999 launch MSRP |
| GeForce RTX 3090 Ti | Runs great | est. 156.9 tok/s125.6–188.3calibrated estimate ±20% | Q4_K_M | 18.5 / 24.0 GB | Full GPU | up to 64k | — | $1,999 launch MSRP |
| GeForce RTX 4090 | Runs great | est. 156.9 tok/s125.6–188.3calibrated estimate ±20% | Q4_K_M | 18.5 / 24.0 GB | Full GPU | up to 64k | — | $2,755 street (as of 2026-08-09) |
| GeForce RTX 3090 | Runs great | est. 145.7 tok/s116.6–174.9calibrated estimate ±20% | Q4_K_M | 18.5 / 24.0 GB | Full GPU | up to 64k | — | $1,050 street (as of 2026-08-09) |
| GeForce RTX 5090 Laptop | Runs great | est. 139.5 tok/s111.6–167.4calibrated estimate ±20% | Q4_K_M | 18.5 / 24.0 GB | Full GPU | up to 64k | — | — |
| Radeon RX 7900 XT | Runs great | est. 138.4 tok/s110.7–166.1calibrated estimate ±20% | Q4_K_M | 18.5 / 20.0 GB | Full GPU | up to 32k | — | $899 launch MSRP |
| Apple M3 Ultra · 96 GB | Runs great | est. 82.2 tok/s65.7–98.6calibrated estimate ±20% | Q4_K_M | 17.9 / 67.2 GB | Unified memory | up to 128k | — | — |
| Apple M2 Ultra · 64 GB | Runs great | est. 80.3 tok/s64.2–96.3calibrated estimate ±20% | Q4_K_M | 17.9 / 44.8 GB | Unified memory | up to 128k | — | — |
| Apple M5 Max (40-core GPU) · 48 GB | Runs great | est. 63.7 tok/s51.0–76.5calibrated estimate ±20% | Q4_K_M | 17.9 / 33.6 GB | Unified memory | up to 128k | — | — |
| Apple M4 Max (40-core GPU) · 48 GB | Runs great | est. 56.7 tok/s45.3–68.0calibrated estimate ±20% | Q4_K_M | 17.9 / 33.6 GB | Unified memory | up to 128k | — | — |
| Apple M5 Max (32-core GPU) · 36 GB | Runs great | est. 47.7 tok/s38.2–57.3calibrated estimate ±20% | Q4_K_M | 17.9 / 25.2 GB | Unified memory | up to 64k | — | — |
| Ryzen AI Max+ 395 (Strix Halo) · 32 GB | Runs great | est. 46.9 tok/s37.6–56.3calibrated estimate ±20% | Q4_K_M | 17.9 / 22.4 GB | Unified memory | up to 64k | — | $1,999 launch MSRP |
| Apple M4 Max (32-core GPU) · 36 GB | Runs great | est. 42.6 tok/s34.0–51.1calibrated estimate ±20% | Q4_K_M | 17.9 / 25.2 GB | Unified memory | up to 64k | — | — |
| NVIDIA DGX Spark · 128 GB | Runs great | est. 37.8 tok/s30.2–45.3calibrated estimate ±20% | Q4_K_M | 17.9 / 89.6 GB | Unified memory | up to 64k | — | $3,999 launch MSRP |
| Apple M5 Pro · 48 GB | Runs great | est. 31.9 tok/s25.5–38.2calibrated estimate ±20% | Q4_K_M | 17.9 / 33.6 GB | Unified memory | up to 32k | — | — |
| Apple M4 Pro · 48 GB | Runs great | est. 28.3 tok/s22.7–34.0calibrated estimate ±20% | Q4_K_M | 17.9 / 33.6 GB | Unified memory | up to 32k | — | — |
| Apple M5 · 32 GB | Runs well | est. 15.9 tok/s12.8–19.1calibrated estimate ±20% | Q4_K_M | 17.9 / 22.4 GB | Unified memory | up to 64k |
| — |
| Apple M4 · 32 GB | Runs well | est. 12.5 tok/s10.0–14.9calibrated estimate ±20% | Q4_K_M | 17.9 / 22.4 GB | Unified memory | up to 32k | — | — |
| GeForce RTX 5080 | Runs slowly | est. 60.2 tok/s42.1–78.3theoretical estimate ±30% | Q4_K_M | 16.0 / 16.0 GB + 2.5 GB RAM | Partial offload | up to 256k |
| $1,256 street (as of 2026-08-09) |
| GeForce RTX 5070 Ti | Runs slowly | est. 58.8 tok/s41.1–76.4theoretical estimate ±30% | Q4_K_M | 16.0 / 16.0 GB + 2.5 GB RAM | Partial offload | up to 256k |
| $949 street (as of 2026-08-09) |
| GeForce RTX 5080 Laptop | Runs slowly | est. 58.8 tok/s41.1–76.4theoretical estimate ±30% | Q4_K_M | 16.0 / 16.0 GB + 2.5 GB RAM | Partial offload | up to 256k |
| — |
| GeForce RTX 4080 Super | Runs slowly | est. 54.5 tok/s38.1–70.8theoretical estimate ±30% | Q4_K_M | 16.0 / 16.0 GB + 2.5 GB RAM | Partial offload | up to 256k |
| $999 launch MSRP |
| GeForce RTX 4080 | Runs slowly | est. 53.9 tok/s37.7–70.1theoretical estimate ±30% | Q4_K_M | 16.0 / 16.0 GB + 2.5 GB RAM | Partial offload | up to 256k |
| $1,199 launch MSRP |
| Radeon RX 9070 | Runs slowly | est. 53.9 tok/s37.7–70.1theoretical estimate ±30% | Q4_K_M | 16.0 / 16.0 GB + 2.5 GB RAM | Partial offload | up to 256k |
| $639 street (as of 2026-08-09) |
| Radeon RX 9070 XT | Runs slowly | est. 53.9 tok/s37.7–70.1theoretical estimate ±30% | Q4_K_M | 16.0 / 16.0 GB + 2.5 GB RAM | Partial offload | up to 256k |
| $689 street (as of 2026-08-09) |
| Radeon RX 7800 XT | Runs slowly | est. 53.2 tok/s37.2–69.1theoretical estimate ±30% | Q4_K_M | 16.0 / 16.0 GB + 2.5 GB RAM | Partial offload | up to 256k |
| $499 launch MSRP |
| GeForce RTX 4070 Ti Super | Runs slowly | est. 52.5 tok/s36.7–68.2theoretical estimate ±30% | Q4_K_M | 16.0 / 16.0 GB + 2.5 GB RAM | Partial offload | up to 256k |
| $799 launch MSRP |
| GeForce RTX 4090 Laptop | Runs slowly | est. 49.0 tok/s34.3–63.7theoretical estimate ±30% | Q4_K_M | 16.0 / 16.0 GB + 2.5 GB RAM | Partial offload | up to 256k |
| — |
| GeForce RTX 5060 Ti 16GB | Runs slowly | est. 43.2 tok/s30.2–56.2theoretical estimate ±30% | Q4_K_M | 16.0 / 16.0 GB + 2.5 GB RAM | Partial offload | up to 256k |
| $569 street (as of 2026-08-09) |
| Radeon RX 9060 XT 16GB | Runs slowly | est. 38.1 tok/s26.7–49.6theoretical estimate ±30% | Q4_K_M | 16.0 / 16.0 GB + 2.5 GB RAM | Partial offload | up to 256k |
| $449 street (as of 2026-08-09) |
| GeForce RTX 4060 Ti 16GB | Runs slowly | est. 33.4 tok/s23.4–43.4theoretical estimate ±30% | Q4_K_M | 16.0 / 16.0 GB + 2.5 GB RAM | Partial offload | up to 256k |
| $499 launch MSRP |
| GeForce RTX 3080 12GB | Runs slowly | est. 30.3 tok/s21.2–39.5theoretical estimate ±30% | Q4_K_M | 12.0 / 12.0 GB + 6.5 GB RAM | Partial offload | up to 128k |
| $799 launch MSRP |
| GeForce RTX 5070 | Runs slowly | est. 29.0 tok/s20.3–37.7theoretical estimate ±30% | Q4_K_M | 12.0 / 12.0 GB + 6.5 GB RAM | Partial offload | up to 128k |
| $629 street (as of 2026-08-09) |
| GeForce RTX 5070 Ti Laptop | Runs slowly | est. 29.0 tok/s20.3–37.7theoretical estimate ±30% | Q4_K_M | 12.0 / 12.0 GB + 6.5 GB RAM | Partial offload | up to 128k |
| — |
| Intel Arc B580 | Runs slowly | est. 28.4 tok/s19.9–36.9theoretical estimate ±30% | Q4_K_M | 12.0 / 12.0 GB + 6.5 GB RAM | Partial offload | up to 128k |
| $290 street (as of 2026-08-09) |
| GeForce RTX 4070 | Runs slowly | est. 27.4 tok/s19.2–35.6theoretical estimate ±30% | Q4_K_M | 12.0 / 12.0 GB + 6.5 GB RAM | Partial offload | up to 128k |
| $599 launch MSRP |
| GeForce RTX 4070 Super | Runs slowly | est. 27.4 tok/s19.2–35.6theoretical estimate ±30% | Q4_K_M | 12.0 / 12.0 GB + 6.5 GB RAM | Partial offload | up to 128k |
| $599 launch MSRP |
| GeForce RTX 4080 Laptop | Runs slowly | est. 26.5 tok/s18.5–34.4theoretical estimate ±30% | Q4_K_M | 12.0 / 12.0 GB + 6.5 GB RAM | Partial offload | up to 128k |
| — |
| GeForce RTX 2080 Ti | Runs slowly | est. 25.7 tok/s18.0–33.5theoretical estimate ±30% | Q4_K_M | 11.0 / 11.0 GB + 7.5 GB RAM | Partial offload | up to 128k |
| $999 launch MSRP |
| GeForce RTX 3060 12GB | Runs slowly | est. 25.2 tok/s17.7–32.8theoretical estimate ±30% | Q4_K_M | 12.0 / 12.0 GB + 6.5 GB RAM | Partial offload | up to 128k |
| $250 street (as of 2026-08-09) |
| GeForce GTX 1080 Ti | Runs slowly | est. 24.7 tok/s17.3–32.1theoretical estimate ±30% | Q4_K_M | 11.0 / 11.0 GB + 7.5 GB RAM | Partial offload | up to 128k |
| $699 launch MSRP |
| GeForce RTX 3080 10GB | Runs slowly | est. 24.0 tok/s16.8–31.2theoretical estimate ±30% | Q4_K_M | 10.0 / 10.0 GB + 8.5 GB RAM | Partial offload | up to 128k |
| $699 launch MSRP |
| GeForce RTX 3070 | Runs slowly | est. 19.3 tok/s13.5–25.1theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 10.5 GB RAM | Partial offload | up to 128k |
| $499 launch MSRP |
| GeForce RTX 5060 | Runs slowly | est. 19.3 tok/s13.5–25.1theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 10.5 GB RAM | Partial offload | up to 128k |
| $339 street (as of 2026-08-09) |
| GeForce RTX 5060 Ti 8GB | Runs slowly | est. 19.3 tok/s13.5–25.1theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 10.5 GB RAM | Partial offload | up to 128k |
| $429 street (as of 2026-08-09) |
| GeForce RTX 4060 Ti 8GB | Runs slowly | est. 18.2 tok/s12.8–23.7theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 10.5 GB RAM | Partial offload | up to 128k |
| $399 launch MSRP |
| GeForce RTX 4060 | Runs slowly | est. 18.1 tok/s12.7–23.5theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 10.5 GB RAM | Partial offload | up to 128k |
| $299 launch MSRP |
| GeForce RTX 4060 Laptop | Runs slowly | est. 17.9 tok/s12.5–23.3theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 10.5 GB RAM | Partial offload | up to 128k |
| — |
| GeForce RTX 4070 Laptop | Runs slowly | est. 17.9 tok/s12.5–23.3theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 10.5 GB RAM | Partial offload | up to 128k |
| — |
| GeForce RTX 3050 8GB | Runs slowly | est. 17.5 tok/s12.2–22.7theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 10.5 GB RAM | Partial offload | up to 128k |
| $249 launch MSRP |
| DDR5-6000 dual-channel CPU · 32 GB | Runs slowly | est. 14.3 tok/s11.4–17.1calibrated estimate ±20% | Q4_K_M | 17.3 GB RAM | CPU only | up to 256k |
| — |
| DDR5-5600 dual-channel CPU · 32 GB | Runs slowly | est. 13.3 tok/s10.7–16.0calibrated estimate ±20% | Q4_K_M | 17.3 GB RAM | CPU only | up to 256k |
| — |
| DDR4-3200 dual-channel CPU · 32 GB | Runs slowly | est. 7.6 tok/s6.1–9.1calibrated estimate ±20% | Q4_K_M | 17.3 GB RAM | CPU only | up to 128k | — | — |
Cheapest GPUs that run it
- Runs greatGeForce RTX 3090$1,050 street (as of 2026-08-09), est. 145.7 tok/s (116.6–174.9, calibrated estimate ±20%).
Measured results for Gemma 4 26B-A4B
No public measurements for this model yet.
Frequently asked questions
How much VRAM does Gemma 4 26B-A4B need?
At Q4_K_M the weights are 16.95 GB; with 8k context the total is about 17.9 GB (KV cache 0.3 GB, compute buffer 0.6 GB). The smallest tracked file (UD-Q2_K_XL (heavy quality loss)) needs about 11.5 GB.
What is the cheapest GPU that runs Gemma 4 26B-A4B well?
Cheapest that runs it great: GeForce RTX 3090 at $1,050 (street price as of 2026-08-09), est. 145.7 tok/s (116.6–174.9, calibrated estimate ±20%).
Can Gemma 4 26B-A4B run on an 8 GB, 16 GB or 24 GB GPU?
At Q4_K_M with 8k context: GeForce RTX 4060 — Runs slowly, est. 18.1 tok/s (12.7–23.5, theoretical estimate ±30%); GeForce RTX 5060 Ti 16GB — Runs slowly, est. 43.2 tok/s (30.2–56.2, theoretical estimate ±30%); GeForce RTX 3090 — Runs great, est. 145.7 tok/s (116.6–174.9, calibrated estimate ±20%).
Speeds are estimates from memory bandwidth, calibrated against public benchmarks, and each one comes with an error band and a confidence label. Real results vary with drivers, backend, context length and thermals.