Benchmark result
ukisai/Swift-1.5-Qwen3.8-27B-GGUF:Q6_K on Apple M5 Pro — 34.9 tok/s
Measured with Splash manual on October 22, 2026.
Support llm-bench.io
llm-bench.io is free. If it helped you, I'd appreciate your support to cover the infrastructure costs.
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.
Reproduce this run
toolSplash manual
modelukisai/Swift-1.5-Qwen3.8-27B-GGUF:Q6_K (Q6_K)
context65,536
clientv0.4.96+102
Set those in Splash, then:
llm-benchmark benchmark --model "ukisai/Swift-1.5-Qwen3.8-27B-GGUF:Q6_K" --tool "Splash"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.