Can GLM-5.3-Flash run on Mac Studio M3 Ultra 256GB?

YES — Runs great

Q4_K_XL · 4K context · formula estimate

What this means

GLM-5.3-Flash fits on the Mac Studio M3 Ultra · 256GB at Q4_K_XL. We estimate it uses 232.9GB of the conservative 248GB working budget.

Estimated decode speed is 36.5–51 tokens/s. A roughly 300-word answer may take around 9 seconds.

View technical details ↓Setup guide →

36.5–51tokens/s

estimated · instant

232.9GB

needed at Q4_K_XL

Q4_K_XL

quant selected

15.1GB

working headroom

needs 232.9 GBworking budget 248 GB

Apple M3 Ultra256 GB unified memory MetalActive cooling

See how fast it feels

Using the midpoint of our 36.5–51 tokens/s estimate for this demo.

Live demo · 43.8 tokens/s

▌

Compare other speeds →

Where the memory goes

Component	Detail	GB
Model weights	Q4_K_XL GGUF (199.7 GB) + mmap overhead	209.7
KV cache	4K context window	22.4
Runtime	macOS inference app + compute buffers	0.8
Total needed	at Q4_K_XL, 4K context	232.9
Working budget	256 GB unified memory − conservative macOS reserve	248
Headroom	remaining inside the working budget	15.1

Pick your quant

Quant	Download	Memory	Estimated speed	Verdict
IQ1_S	93.1 GB	121 GB	~78.2–109.5 tok/s	✓ Runs great
IQ1_M	97.6 GB	125.7 GB	~74.6–104.4 tok/s	✓ Runs great
Q2_K_XL	108.7 GB	137.3 GB	~67–93.8 tok/s	✓ Runs great
IQ3_XXS	120.4 GB	149.6 GB	~60.5–84.7 tok/s	✓ Runs great
Q3_K_XL	147.5 GB	178.1 GB	~49.4–69.1 tok/s	✓ Runs great
IQ4_XS	156.8 GB	187.8 GB	~46.4–65 tok/s	✓ Runs great
Q4_K_XL ★	199.7 GB	232.9 GB	~36.5–51 tok/s	✓ Runs great

Get it running on this Mac

Choose the beginner-friendly build instead.

This Mac has enough memory, but the tracked Q4_K_XL ternary file is not supported by the current point-and-click apps. For a first local chat, use Bonsai 27B 1-bit in Locally AI. Do not download PQ2_0; the publisher marks it unsupported.

Only use the publisher tool if you are comfortable with Terminal.

The advanced path is complete below, but it is not required for ordinary local AI.

Advanced publisher setup (Terminal)

Install Apple's command-line tools if macOS asks, then run:

git clone https://github.com/PrismML-Eng/Bonsai-demo.git
cd Bonsai-demo
BONSAI_OPENWEBUI=0 BONSAI_SKIP_MLX=1 BONSAI_FAMILY=undefined BONSAI_MODEL=undefined ./setup.sh
BONSAI_FAMILY=undefined BONSAI_MODEL=undefined BONSAI_CTX=4096 ./scripts/start_llama_server.sh

When the server says it is ready, open http://localhost:8080. Start with 4K context. This route uses the publisher's Prism runtime, not Jan or LM Studio.

Other models on this Mac

LongCat Flash Chat · IQ1_S Ornith 1.0 397B · IQ4_XS Hunyuan 3 (Hy3) · Q4_K_M DeepSeek V4 Flash 0731 · Q4_K_XL Inkling Small · Q4_K_M Qwen3.8-Flash-Next · IQ4_XS

GLM-5.3-Flash on other Mac Studio M3 Ultra configurations

Check 96GB Check 512GB

FAQ

Can the Mac Studio M3 Ultra · 256GB run GLM-5.3-Flash?

Yes at Q4_K_XL. We estimate about 232.9GB of working memory and 36.5–51 tokens/s at 4K context.

Which GLM-5.3-Flash quant should I use on this Mac?

Q4_K_XL. It is a 199.7GB download and leaves about 15.1GB inside our conservative working budget.

Which app should I use for GLM-5.3-Flash on this Mac?

Current beginner Mac apps do not load this exact file. Use Bonsai 27B 1-bit in Locally AI instead, or open the advanced publisher instructions on this page.

Are these speeds measured on a Mac Studio M3 Ultra?

No. The range is a formula estimate based on memory bandwidth, model size, active parameters, cooling, and a 4K context. The app, backend, thermals, and prompt can change real performance.