Benchmark result

Qwen3.8-Flash-Next-oQ3.5e-mtp on Apple M5 Ultra — 98.7 tok/s

Measured with oMLX 0.7.3 on November 1, 2026.

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What the model built

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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

2nd fastest of 2 runs of this model on Apple M5 Ultra · median 99.1 tok/s.

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Reproduce this run

tooloMLX 0.7.3
modelQwen3.8-Flash-Next-oQ3.5e-mtp (oQ3)
context65,536
kv cachenone
thinkingon
effortxhigh (model default)
think limitnone
samplingtemperature 1 · top_p 0.95 · top_k 20 · repetition_penalty 1
clientv0.4.98+102

Set those in oMLX, then:

llm-benchmark benchmark --model "Qwen3.8-Flash-Next-oQ3.5e-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.