Model benchmarks

Nex-N2.5-mini-MLX-4bit local LLM performance

As of September 2026, Nex-N2.5-mini-MLX-4bit runs at up to 140.7 tok/s for local inference (best of 20 community benchmark runs across 1 GPU).

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Model size

4B

Peak speed

140.7 tok/s

Average speed

137.0 tok/s

Avg PP

1509.2 tok/s

Min memory

18.7 GB

Max context

262,144 tokens

Avg output / run

46,198 tokens

Avg runtime / run

5m 57s

Avg quality

80.3

Benchmark runs

20

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 20 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)
Overall75.380.383.6
Agent Workflow69.381.289.4
Code Generation64.573.984.6
Role Play & Narrative70.881.189.3
Research & Analysis79.585.187.8

Performance by hardware and tool

Every hardware/tool/quantization combination Nex-N2.5-mini-MLX-4bit has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
Apple M5 MaxoMLX—140.7 tok/s137.0 tok/s18.7 GB262,144 tokens80.320

Benchmark runs

All 20 Nex-N2.5-mini-MLX-4bit runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

How fast is Nex-N2.5-mini-MLX-4bit for local inference?
Across 20 community benchmark runs, Nex-N2.5-mini-MLX-4bit reaches up to 140.7 tok/s and averages 137.0 tok/s, with the fastest results on Apple M5 Max.
How much memory does Nex-N2.5-mini-MLX-4bit need?
The leanest observed configuration used about 18.7 GB of memory.
Which tools have been used to run Nex-N2.5-mini-MLX-4bit?
Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.