Can Desktop PC · Intel Arc Pro B60 24GB · 64 GB RAM run Qwen3-Next 80B-A3B Instruct?
24 GB VRAM + 64 GB RAM · 456 GB/s memory bandwidth · Qwen3-Next 80B-A3B Instruct has 81.3B parameters (3B active per token).
Short answer
It loads, but it's borderline even for chat.
Best quantization for chat: Q4_K_M (45 GB of weights) on LM Studio. Generation: 20–35 tok/s, leaving about 0.0 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 | Borderline | Q4_K_M | 20–35 tok/s | ≈3 s | 8K | Details |
| Coding questionswith Continue | Borderline | Q4_K_M | 20–35 tok/s | ≈15 s | 16K | Details |
| Coding in a repositorywith Aider | Borderline | Q4_K_M | 18–30 tok/s | ≈50 s | 32K | Details |
| Agentic codingwith OpenCode | Borderline | Q5_K_M | 14–25 tok/s | ≈85 s | 32K | Details |
| Long documents (64K)with Open WebUI | Borderline | Q6_K | 9–15 tok/s | ≈5 min | 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 Q4_K_M build with a 8K context. Ollama and llama.cpp download the file straight from Hugging Face.
ollama run hf.co/unsloth/Qwen3-Next-80B-A3B-Instruct-GGUF:Q4_K_M
Downloads 48.51 GB (Q4_K_M). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=8192 before `ollama serve` for long prompts.
Other models for Desktop PC · Intel Arc Pro B60 24GB · 64 GB RAM
The best-rated models for chat on this machine.
- Qwen3.6 35B-A3B70–120 tok/sExcellent
- Gemma 4 26B-A4B45–80 tok/sExcellent
- LFM2.5 24B-A2B100–170 tok/sExcellent
- gpt-oss-20b60–100 tok/sExcellent
- Qwen3.5 35B-A3B70–120 tok/sExcellent
- GLM-4.7-Flash (30B-A3B)70–120 tok/sExcellent
Cheapest machines for Qwen3-Next 80B-A3B Instruct
Hardware rated comfortable or better for chat, lowest price first.
- Desktop PC · Ryzen 9 9950X (no GPU) · 64 GB DDR5$1,400 · 15–25 tok/sComfortable
- Ryzen AI Max+ 395 mini PC / Framework Desktop · 64 GB$1,600 · 80–110 tok/sComfortable
- Ryzen AI Max+ 395 mini PC / Framework Desktop · 128 GB$2,000 · 55–75 tok/sExcellent
- Mac mini M4 Pro 64 GB$2,199 · 70–100 tok/sExcellent
- Mac Studio M1 Max 64 GB$2,399 · 100–140 tok/sExcellent
- Mac mini M5 Pro 64 GB$2,499 · 65–110 tok/sExcellent
Same chip, other memory: 32 GB
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.