Is Nex-N2.5-mini-IQ3_XXS good for agentic (tool-using) tasks?

In our benchmarks, Nex-N2.5-mini-IQ3_XXS scores 88.0/100 for agentic workflows. It runs at about 95.1 tok/s, so if you want more speed, qwen3.8-flash-next-q2_0 is faster (~117.1 tok/s) and still scores well for agentic workflows (86.6/100).

How fast is Nex-N2.5-mini-IQ3_XXS for local inference?

Across 7 community benchmark runs, Nex-N2.5-mini-IQ3_XXS reaches up to 117.6 tok/s and averages 95.1 tok/s, with the fastest results on AMD Radeon RX 7800 XT.

How much memory does Nex-N2.5-mini-IQ3_XXS need?

The leanest observed configuration used about 15.1 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.

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 117.6 tok/s for local inference (best of 7 community benchmark runs across 2 GPUs).

llama.cpp

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Model size

Unknown

Peak speed

117.6 tok/s

Average speed

95.1 tok/s

Avg PP

842.1 tok/s

Min memory

15.1 GB

Max context

131,072 tokens

Avg output / run

42,914 tokens

Avg runtime / run

9m 25s

Avg quality

83.3

Benchmark runs

GPUs tested

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 7 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.

Task	P5 (low)	Avg	P95 (high)
Overall	81.3	83.3	85.3
Agent Workflow	83.5	88.0	90.1
Code Generation	74.4	80.4	87.4
Role Play & Narrative	78.7	83.6	90.1
Research & Analysis	76.9	81.3	83.9

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.

Hardware	Tool	Quant	Best tok/s	Avg tok/s	Memory	Context	Quality	Runs
AMD Radeon RX 7800 XT	llama.cpp	—	117.6 tok/s	106.2 tok/s	15.1 GB	131,072 tokens	82.9	4
NVIDIA GeForce RTX 5060	llama.cpp	—	81.2 tok/s	80.3 tok/s	16.4 GB	131,072 tokens	83.9	3

Benchmark runs

All 7 Nex-N2.5-mini-IQ3_XXS runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

Is Nex-N2.5-mini-IQ3_XXS good for agentic (tool-using) tasks?: In our benchmarks, Nex-N2.5-mini-IQ3_XXS scores 88.0/100 for agentic workflows. It runs at about 95.1 tok/s, so if you want more speed, qwen3.8-flash-next-q2_0 is faster (~117.1 tok/s) and still scores well for agentic workflows (86.6/100).
How fast is Nex-N2.5-mini-IQ3_XXS for local inference?: Across 7 community benchmark runs, Nex-N2.5-mini-IQ3_XXS reaches up to 117.6 tok/s and averages 95.1 tok/s, with the fastest results on AMD Radeon RX 7800 XT.
How much memory does Nex-N2.5-mini-IQ3_XXS need?: The leanest observed configuration used about 15.1 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.