Budget Pick
Apple M1 Max64 GB VRAM · ~8 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonCompatibility Check
Can I Run Qwen3 Coder Next 80B A3B?
Qwen3 Coder Next 80B A3B is a 80B parameter model from the Qwen family. Check if your hardware can handle it.
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Social proof
8% of 972 scanned PCs run Qwen3 Coder Next 80B A3B fully on GPU.
369 keep at least some work on GPU. Based on anonymous compatibility checks.
Full GPU
76Partial GPU
42Hybrid CPU+GPU
251CPU Only
106Can't Run
497Test Your Hardware
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Hardware Requirements
Beginner tip: minimum values mean the model can start, while recommended values usually feel smoother during real use. VRAM is your GPU's dedicated memory; RAM is your system memory used as fallback. See the full glossary.
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| Q4_K_MEasiest | 40 GB | 46 GB | 52 GB | 60 GB | 8K / 8K |
| Q5_K_M | 50 GB | 57.5 GB | 65 GB | 75 GB | 8K / 8K |
| Q8_0 | 80 GB | 92 GB | 104 GB | 120 GB | 8K / 8K |
| FP16 | 160 GB | 184 GB | 208 GB | 240 GB | 8K / 8K |
Not sure your GPU has enough VRAM? Compare GPUs that can run Qwen3 Coder Next 80B A3B.
Recommended GPUs for Qwen3 Coder Next 80B A3B
These GPUs meet the recommended 52 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.
Fastest Pick
Apple M4 Ultra256 GB VRAM · ~21.8 tok/s
Highest estimated throughput
Check price on AmazonBest Value
Apple M1 Ultra128 GB VRAM · ~16 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for Qwen3 Coder Next 80B A3B.
Strong OpenClaw Model Candidate
Qwen3 Coder Next 80B A3B is a common OpenClaw pick for local agent workflows. Use this model with Ollama, llama.cpp, or LM Studio, then confirm full OpenClaw hardware compatibility.
Why choose Qwen3 Coder Next 80B A3B?
General-purpose local model brief
- • Pilot testing with your own tasks
- • Controlled local experiments
Quantization tip: Benchmark at least two quantizations and validate with a task-specific eval set before production use.