Benchmark result
cyankiwi/gemma-4-31B-it-AWQ-4bit on NVIDIA GeForce RTX 3080 Ti +1 more — 32.7 tok/s
Measured with vLLM on October 17, 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 3080 Ti +1 more · Multi-GPU · median 32.7 tok/s.
sort
- 132.7tok/s71.5vLLM
- 232.7tok/s78.0vLLMthis run
Reproduce this run
toolvLLM
modelcyankiwi/gemma-4-31B-it-AWQ-4bit
context8,192
thinkingon
clientv0.4.96+102
Set those in vLLM, then:
llm-benchmark benchmark --model "cyankiwi/gemma-4-31B-it-AWQ-4bit" --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.