Benchmark result

Ornith-1.5-35B-A3B-oQ4e-mtp on Apple M4 Pro — 73.1 tok/s

Measured with oMLX 0.32.0 on September 29, 2026.

What the model built

The coding scenario asks for a playable game in a single HTML file. This is exactly what the model returned, unedited; the frame only adds a line that tells this page how tall it is.

How this run compares

1st fastest of 7 runs of this model on Apple M4 Pro · median 70.6 tok/s.

sort

173.1tok/s80.2oMLX · oQ4e · KV nonethis run
271.9tok/s83.3oMLX · KV none
371.1tok/s79.8oMLX · oQ4e · KV none
470.6tok/s86.1oMLX · KV none
570.1tok/s85.0oMLX · KV none
669.4tok/s86.2oMLX · KV none
768.7tok/s81.1oMLX · KV none

Compare the nearest 5 →

Ornith-1.5-35B-A3B-oQ4e-mtp on other hardware

Reproduce this run

tooloMLX 0.32.0

modelOrnith-1.5-35B-A3B-oQ4e-mtp (oQ4e)

context65,536

kv cachenone

think limit8,192 tokens

samplingtemperature 1 · top_p 0.95 · top_k 20 · min_p 0 · repetition_penalty 1

clientv0.4.85+101

Set those in oMLX, then:

llm-benchmark benchmark --model "Ornith-1.5-35B-A3B-oQ4e-mtp" --tool "oMLX"

The client prompts for context length and thinking mode, and for the KV cache dtype on Unsloth Studio. Sampling is left at the model default — the values above are what the tool reported using, not overrides the client sent.