Can Laptop · GeForce RTX 4090 Laptop · 32 GB RAM run Gemma 4 26B-A4B?
16 GB VRAM + 32 GB RAM · 576 GB/s memory bandwidth · Gemma 4 26B-A4B has 25.8B parameters (3.8B active per token).
Short answer
Yes, excellent for chat; borderline for 64K-token documents.
Best quantization for chat: Q3_K_M (12 GB of weights) on Ollama. Generation: 110–190 tok/s, leaving about 2.0 GB free for your other apps.
How it rates for each workload
Same model and machine, different jobs. Agents and long documents send far bigger prompts than chat, so they need much more speed and memory.
| Workload | Verdict | Quant | Generation | First reply | Context | |
|---|---|---|---|---|---|---|
| Chatwith Open WebUI | Excellent | Q3_K_M | 110–190 tok/s | under 1 s | 8K | Details |
| Coding questionswith Continue | Comfortable | Q3_K_M | 110–180 tok/s | ≈1 s | 16K | Details |
| Coding in a repositorywith Aider | Acceptable | Q3_K_M | 95–160 tok/s | ≈4 s | 32K | Details |
| Agentic codingwith OpenCode | Acceptable | Q3_K_M | 90–150 tok/s | ≈5 s | 32K | Details |
| Long documents (64K)with Open WebUI | Borderline | Q3_K_M | 70–120 tok/s | ≈15 s | 64K | Details |
Speeds are bandwidth-based estimates; no direct benchmark exists for this pair. “First reply” is the time to read the workload’s opening prompt. How we calculate
Get it running
Copy-paste commands for the Q3_K_M build with a 32K context. Ollama and llama.cpp download the file straight from Hugging Face.
ollama run hf.co/unsloth/gemma-4-26B-A4B-it-GGUF:UD-Q3_K_XL
Downloads 12.91 GB (UD-Q3_K_XL). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=32768 before `ollama serve` for long prompts.
Other models for Laptop · GeForce RTX 4090 Laptop · 32 GB RAM
The best-rated models for chat on this machine.
- gpt-oss-20b100–170 tok/sExcellent
- MiniCPM5 2B100–170 tok/sExcellent
- Qwen3.5 9B35–55 tok/sExcellent
- Qwen3.5 4B65–100 tok/sExcellent
- Gemma 4 12B30–45 tok/sExcellent
- GLM-4.6V-Flash (10B)35–55 tok/sExcellent
Cheapest machines for Gemma 4 26B-A4B
Hardware rated comfortable or better for chat, lowest price first.
- Mac mini M4 24 GB$999 · 25–35 tok/sComfortable
- Mac mini M6 24 GB$1,299 · 30–50 tok/sComfortable
- Laptop · Core Ultra 7 258V (Arc 140V) · 32 GB$1,300 · 15–25 tok/sExcellent
- Laptop · Ryzen AI 9 HX 370 (Radeon 890M) · 32 GB$1,300 · 16–25 tok/sComfortable
- Mac mini M4 32 GB$1,399 · 25–35 tok/sExcellent
- MacBook Air M4 24 GB$1,399 · 25–35 tok/sComfortable
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.