Benchmark result
Qwen3.8-Flash-Next-Avalon-IQ3KS-00001-of-00033 on Advanced Micro Devices, Inc. [AMD/ATI] Device 7550 — 44.4 tok/s
Measured with llama.cpp b12351-dc6169adf on November 13, 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.
How this run compares
1st fastest of 7 runs of this model on Advanced Micro Devices, Inc. [AMD/ATI] Device 7550 · median 38.2 tok/s.
Qwen3.8-Flash-Next-Avalon-IQ3KS-00001-of-00033 on other hardware
Reproduce this run
Set those in llama.cpp, then:
llm-benchmark benchmark --model "Qwen3.8-Flash-Next-Avalon-IQ3KS-00001-of-00033" --tool "llama.cpp"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.