mlx-vlm
An inference engine for running open-weight LLMs locally.
3 community reports
This engine doesn't yet have an editorial profile on llamaperf. The community reports below show how it's been used in practice across different hardware.
Top GPUs running mlx-vlm
| GPU | VRAM | Reports | Median t/s |
|---|---|---|---|
| M5 Max 128GBapple | 128GB | 1 | no plain run of this model |
| M5 Ultra 256GBapple | 256GB | 1 | no plain run of this model |
| M5 Ultra 512GBapple | 512GB | 1 | no plain run of this model |
mlx-vlm against other engines
Pairs of plain runs on the same card, of the same model size at the same bit class: one device, one request, no speculative decoding, the whole model in memory. Context length and build still differ between the two sides, and each side shows its own.
No matched pair yet. No card has plain runs of one model size at one bit class on mlx-vlm and on another engine, so llamaperf can't say how it compares on speed. Add a run.
mlx-vlm results by GPU
Every card people have run mlx-vlm on, with each report's model, quant and speed, newest first. Runs on several cards, with speculative decoding, with batched requests or with part of the model in system RAM say so, since each describes a different setup.
mlx-vlm on M5 Max 128GB1 report
- Qwen3.8 27B · 4bit47.0 t/s, 854 t/s prompt(speculative)
mlx-vlm on M5 Ultra 256GB1 report
- Mimo 2.6 309B · 15B active49.1 t/s, 1,238 t/s prompt
mlx-vlm on M5 Ultra 512GB1 report
- GLM-5.3 320B · 18B active · 4bit71.1 t/s, 736 t/s prompt(speculative)
Top models on mlx-vlm
Frequently asked
Is mlx-vlm faster than other engines?
llamaperf has no matched comparison for mlx-vlm yet: no card has plain runs of the same model size at the same bit class on mlx-vlm and on another engine. Speed claims about engines need that pairing, so this page doesn't make one.