Model benchmarks

Nex-N2.5-mini-IQ3_XXS local LLM performance

As of October 2026, Nex-N2.5-mini-IQ3_XXS runs at up to 81.2 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

llama.cpp
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Model size

Unknown

Peak speed

81.2 tok/s

Average speed

80.4 tok/s

Avg PP

867.8 tok/s

Min memory

16.4 GB

Max context

131,072 tokens

Avg output / run

41,360 tokens

Avg runtime / run

8m 54s

Avg quality

82.9

Benchmark runs

2

GPUs tested

1

Quality by task

Average LLM-judged quality (0–100) with the run-to-run spread shown as a P5–P95 band, overall and for each benchmark task, across all 2 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.

TaskP5 (low)AvgP95 (high)
Overall82.982.983.0
Agent Workflow89.389.790.2
Code Generation80.282.684.9
Role Play & Narrative78.279.781.1
Research & Analysis76.379.883.3

Performance by hardware and tool

Every hardware/tool/quantization combination Nex-N2.5-mini-IQ3_XXS has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
NVIDIA GeForce RTX 5060llama.cpp—81.2 tok/s80.4 tok/s16.4 GB131,072 tokens82.92

Benchmark runs

All 2 Nex-N2.5-mini-IQ3_XXS runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is Nex-N2.5-mini-IQ3_XXS good for coding?
In our benchmarks, Nex-N2.5-mini-IQ3_XXS scores 82.6/100 for coding, among the top 2 for coding on consumer hardware (≤24 GB VRAM). It runs at about 80.4 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-MLX-oQ4e is faster (~107.9 tok/s) and still scores well for coding (81.5/100).
Is Nex-N2.5-mini-IQ3_XXS good for agentic (tool-using) tasks?
In our benchmarks, Nex-N2.5-mini-IQ3_XXS scores 89.7/100 for agentic workflows. It runs at about 80.4 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS is faster (~96.9 tok/s) and still scores well for agentic workflows (88.9/100).
How fast is Nex-N2.5-mini-IQ3_XXS for local inference?
Across 2 community benchmark runs, Nex-N2.5-mini-IQ3_XXS reaches up to 81.2 tok/s and averages 80.4 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.
How much memory does Nex-N2.5-mini-IQ3_XXS need?
The leanest observed configuration used about 16.4 GB of memory.
Which tools have been used to run Nex-N2.5-mini-IQ3_XXS?
Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.