Benchmark result
Nex-N2.5-mini-APEX-Mini on 2× NVIDIA GeForce RTX 5060 — 89.6 tok/s
Measured with llama.cpp b11217-c9064dded on September 28, 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
1st fastest of 2 runs of this model on 2× NVIDIA GeForce RTX 5060 · Multi-GPU · median 88.2 tok/s.
sort
- 189.6tok/s76.1llama.cppthis run
- 286.8tok/s86.0llama.cpp
Reproduce this run
toolllama.cpp b11217-c9064dded
modelNex-N2.5-mini-APEX-Mini
context131,072
thinkingon
samplingtemperature 0.699999988079071 · top_p 0.949999988079071 · top_k 40 · min_p 0 · presence_penalty 0 · repeat_penalty 1.0499999523162842
clientv0.4.82+98
Set those in llama.cpp, then:
llm-benchmark benchmark --model "Nex-N2.5-mini-APEX-Mini" --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.