M3 Ultra (256 GB) — benchmark record
M3 Ultra (256 GB) local LLM benchmarks on Apple Silicon Mac with 13 published rows across 10 models. Peak published speed is 370.0 tok/s on Qwen 3 0.6B. Largest published fit uses 129.8 GB. Published runtimes include MLX.
Quick take
Best published speed here is 370.0 tok/s on Qwen 3 0.6B at 4bit. Largest published memory footprint is Qwen3.5-122B-A10B at 8bit, using 129.8 GB. This page is evidence, not the full buying answer.
Based on 13 external benchmarks; no lab runs yet.
Published runtimes: MLX.
Current published coverage
Published model coverage includes Qwen 3 0.6B, Qwen3.5-9B, Qwen3.5-35B-A3B, Qwen3-Coder-Next plus 6 more published models. Published runtime coverage on this chip includes MLX. Fastest published row is 370.0 tok/s on Qwen 3 0.6B at 4bit. Largest published footprint on this page is 129.8 GB for Qwen3.5-122B-A10B.
Other published M3 Ultra variants: 512 GB
Macs shipping with the M3 Ultra (256 GB)
This chip is part of a family. Compare all M3 Ultra RAM variants →
Raw benchmark rows for M3 Ultra (256 GB)
Rows sorted by avg tok/s descending. Click source badge to see original measurement page.
| Model | Quant | Avg tok/s | Runtime | Source |
|---|---|---|---|---|
| Qwen 3 0.6B | 4bit | 370.0 tok/s | MLX | ref |
| Qwen3.5-9B | 4bit | 106.0 tok/s | MLX | ref |
| Qwen3.5-35B-A3B | 4bit | 95.0 tok/s | MLX | ref |
| Qwen3.5-35B-A3B | 8bit | 80.0 tok/s | MLX | ref |
| Qwen3-Coder-Next | 4bit | 74.0 tok/s | MLX | ref |
| Qwen3-Coder-Next | 6bit | 66.0 tok/s | MLX | ref |
| GLM-4.7-Flash | 8bit | 58.0 tok/s | MLX | ref |
| Qwen3.5-122B-A10B | MXFP4 | 57.0 tok/s | MLX | ref |
| GLM-4.5-Air | 4bit | 54.0 tok/s | MLX | ref |
| Devstral Small 2 24B | 4bit | 47.0 tok/s | MLX | ref |
| Qwen3.5-122B-A10B | 8bit | 43.0 tok/s | MLX | ref |
| Qwen3.5-27B | 4bit | 38.0 tok/s | MLX | ref |
| Qwen 3 235B-A22B | Q4 | 27.0 tok/s | MLX | ref |
Models tested on this chip
Next step
Use Rankings when you need the best overall answer for a Mac, and keep this page open when you need the evidence behind that recommendation.
If you are comparing local Apple Silicon against rented cloud hardware, use AI Data Center Index for current GPU rental context.
Data
benchmarks.json — full dataset · chips.json — chip summaries · benchmarks.csv — CSV export
Data from in-house lab measurements plus community-published benchmarks. See all chip families →