Benchmark result
qwen3.8-flash-next-iq3_s on NVIDIA GeForce RTX 5090 — 111.8 tok/s
Measured with llama.cpp Strata 0.1.35 on October 2, 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; 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 NVIDIA GeForce RTX 5090 · median 116.8 tok/s.
sort
- 1121.7tok/s84.5llama.cpp
- 2111.8tok/s79.9llama.cppthis run
Reproduce this run
toolllama.cpp Strata 0.1.35
modelqwen3.8-flash-next-iq3_s
context262,144
thinkingon
effortxhigh (model default)
clientv0.4.59+97
Set those in llama.cpp, then:
llm-benchmark benchmark --model "qwen3.8-flash-next-iq3_s" --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.