Benchmark result

qwen3.8:27b on Apple M5 Pro — 33.8 tok/s

Measured with Ollama 0.40.13 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

1st fastest of 3 runs of this model on Apple M5 Pro · median 17.1 tok/s.

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qwen3.8:27b on other hardware

Reproduce this run

toolOllama 0.40.13
modelqwen3.8:27b (nvfp4)
context65,536
samplingtemperature 1 · top_p 0.95 · top_k 20 · min_p 0 · presence_penalty 0 · repeat_penalty 1
clientv0.4.98+102

Set those in Ollama, then:

llm-benchmark benchmark --model "qwen3.8:27b" --tool "Ollama"

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.