Benchmark result
beamster/Qwen3.8-Flash-Next-Sushi-2.6bpw on Apple M5 Max — 74.2 tok/s
Measured with sushi manual on October 1, 2026.
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.
How this run compares
3rd fastest of 5 runs of this model on Apple M5 Max · median 74.2 tok/s.
sort
- 178.0tok/s83.6sushi
- 274.4tok/s80.0mlx-serve
- 374.2tok/s81.9sushithis run
- 473.6tok/s85.8mlx-serve
- 571.5tok/s86.5mlx-serve
Reproduce this run
toolsushi manual
modelbeamster/Qwen3.8-Flash-Next-Sushi-2.6bpw
context65,536
thinkingon
effortmedium
clientv0.4.85+101
Set those in sushi, then:
llm-benchmark benchmark --model "beamster/Qwen3.8-Flash-Next-Sushi-2.6bpw" --tool "sushi"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.