Benchmark result
qwen3.8-flash-next on 8× NVIDIA GeForce RTX 4090 D — 172.0 tok/s
Measured with vLLM manual on October 8, 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 8× NVIDIA GeForce RTX 4090 D · Multi-GPU · median 173.4 tok/s.
sort
- 1174.8tok/s75.9vLLM
- 2172.0tok/s79.6vLLMthis run
qwen3.8-flash-next on other hardware
Reproduce this run
toolvLLM manual
modelqwen3.8-flash-next
context262,144
clientv0.4.89+102
Set those in vLLM, then:
llm-benchmark benchmark --model "qwen3.8-flash-next" --tool "vLLM"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.