HomeCan I run it?Qwen3-235BQwen3-235B on a Mac Studio 512GB
Yes. Qwen3-235B at Q8_0 needs about 288.3 GB, and the Mac Studio M5 Ultra 512GB has 384.0 GB usable at a ~4k context.
Can I run Qwen3-235B on a Mac Studio 512GB?
Qwen3-235B at Q8_0 needs about 288.3 GB, and the Mac Studio M5 Ultra 512GB has 384.0 GB usable. That figure is 512 GB of unified memory on the spec sheet, of which 384.0 GB is usable for weights and cache, at 1200 GB/s memory bandwidth. Qwen3’s large Mixture-of-Experts (235B total, about 22B active). It needs a high-memory unified machine at Q4, not a single consumer GPU. These are estimates from our formula, not measured benchmarks.
- Quant that fits
- Q8_0 Fits with headroom
- Memory needed
- 288.3 GB at Q8_0, ~4k context
- Usable unified memory
- 384.0 GB of 512 GB unified memory
- Est. tokens/sec
- up to 41 estimate
Memory at each quant
| Quant | Need vs 384.0 GB | Verdict |
|---|---|---|
| Q4_K_M | 164.9 GB | Q4Fits |
| Q8_0 | 288.3 GB | Q8Fits |
| FP16 | 541.7 GB | FP16Won’t fit |
Estimated tokens per second
Estimate: up to 41 tokens/sec at Q8_0 (upper bound: this is a Mixture-of-Experts, and only the active weights are counted). This is a bandwidth-derived range, not a bench. Efficiency is a 45–80% unified-memory band from How we calculate.
Context headroom
At Q8_0, this machine has headroom out to about 128k tokens under our KV estimate. Longer chats need more memory for the cache. Figures assume an FP16 KV cache.
| Context | KV cache (FP16) | Total at Q8_0 | Verdict |
|---|---|---|---|
| 4k | 0.8 GB | 288.3 GB | Fits |
| 8k | 1.6 GB | 289.0 GB | Fits |
| 16k | 3.2 GB | 290.6 GB | Fits |
| 32k | 6.3 GB | 293.8 GB | Fits |
| 64k | 12.6 GB | 300.1 GB | Fits |
| 128k | 25.2 GB | 312.7 GB | Fits |
What to do instead
- See the best GPU for this model family and the Qwen3-235B-A22B model page.
Other hardware for Qwen3-235B
- Qwen3-235B on a Mac Studio 256GBFits
- Qwen3-235B on dual RTX 3090sWon’t fit
- Qwen3-235B on an RTX 5090Won’t fit
- Qwen3-235B on an RTX 4090Won’t fit
- Qwen3-235B on a Mac mini 64GBWon’t fit
Other models on a Mac Studio 512GB
- Llama 3.3 70B on a Mac Studio 512GBFits
- gpt-oss-120b on a Mac Studio 512GBFits
- DeepSeek-R1 on a Mac Studio 512GBWon’t fit
- DeepSeek-V3.2 on a Mac Studio 512GBWon’t fit
Quick answers
- Can I run Qwen3-235B on a Mac Studio 512GB?
- Yes. Qwen3-235B at Q8_0 needs about 288.3 GB, and the Mac Studio M5 Ultra 512GB has 384.0 GB usable.
- How much VRAM does Qwen3-235B need?
- About 164.9 GB at Q4_K_M, 288.3 GB at Q8_0 and 541.7 GB at FP16, estimated for a ~4k context.
- How fast is Qwen3-235B on a Mac Studio 512GB?
- Our estimate is up to 41 tokens per second at Q8_0, as an upper bound for this MoE. It is not a measured benchmark.
- What context length can I use?
- At Q8_0, our KV estimate supports up to about 128k tokens before the cache pushes the total over usable memory.