Benchmark result
Nex-N2.5-mini-mixed-Q2Q3-vision-trial on 2× NVIDIA GeForce RTX 5060 — 102.9 tok/s
Measured with llama.cpp b10987-d1d3c3396 on September 15, 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.
How this run compares
2nd fastest of 4 runs of this model on 2× NVIDIA GeForce RTX 5060 · Multi-GPU · median 95.9 tok/s.
sort
- 1109.5tok/s81.4llama.cpp
- 2102.9tok/s86.2llama.cppthis run
- 388.8tok/s82.0llama.cpp
- 488.0tok/s84.0llama.cpp
Reproduce this run
toolllama.cpp b10987-d1d3c3396
modelNex-N2.5-mini-mixed-Q2Q3-vision-trial
context131,072
thinkingon
samplingtemperature 0.6000000238418579 · top_p 0.949999988079071 · top_k 20 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1
clientv0.4.59+97
Set those in llama.cpp, then:
llm-benchmark benchmark --model "Nex-N2.5-mini-mixed-Q2Q3-vision-trial" --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.