Benchmark result

Muse-Glimmer-30B-4bit on Apple M5 Max — 29.1 tok/s

Measured with oMLX 0.6.0.dev1 on August 13, 2026.

ShareRedditX

Support llm-bench.io

llm-bench.io is free. If it helped you, I'd appreciate your support to cover the infrastructure costs.

Support me on Ko-fiBuy me a coffee

What the model built

Open full screen →

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

6th fastest of 6 runs of this model on Apple M5 Max · median 30.8 tok/s.

sort
Compare the nearest 5 →

Reproduce this run

tooloMLX 0.6.0.dev1
modelMuse-Glimmer-30B-4bit
context65,536
clientv0.4.36+97

Set those in oMLX, then:

llm-benchmark benchmark --model "Muse-Glimmer-30B-4bit" --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.