Model benchmarks
nex-n2.5-mini local LLM performance
As of October 2026, nex-n2.5-mini runs at up to 65.9 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
65.9 tok/s
Average speed
65.9 tok/s
Avg PP
738.0 tok/s
Min memory
17.5 GB
Max context
65,536 tokens
Avg output / run
43,698 tokens
Avg runtime / run
11m 33s
Avg quality
81.6
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.
| Task | P5 (low) | Avg | P95 (high) |
|---|---|---|---|
| Overall | 78.1 | 81.6 | 85.1 |
| Agent Workflow | 69.7 | 77.2 | 84.7 |
| Code Generation | 74.8 | 78.6 | 82.4 |
| Role Play & Narrative | 85.9 | 86.3 | 86.7 |
| Research & Analysis | 81.3 | 84.4 | 87.4 |
Performance by hardware and tool
Every hardware/tool/quantization combination nex-n2.5-mini 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 |
|---|---|---|---|---|---|---|---|---|
| NVIDIA RTX A2000 12GB | llama.cpp | — | 65.9 tok/s | 65.9 tok/s | 17.5 GB | 65,536 tokens | 81.6 | 2 |
Benchmark runs
All 2 nex-n2.5-mini runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is nex-n2.5-mini good for coding?
- In our benchmarks, nex-n2.5-mini scores 78.6/100 for coding. It runs at about 65.9 tok/s, so if you want more speed, Nex-N2.5-mini-IQ3_XXS is faster (~91.4 tok/s) and still scores well for coding (81.6/100).
- Is nex-n2.5-mini good for agentic (tool-using) tasks?
- In our benchmarks, nex-n2.5-mini scores 77.2/100 for agentic workflows. It runs at about 65.9 tok/s, so if you want more speed, Nex-N2.5-mini-APEX-Mini is faster (~88.2 tok/s) and still scores well for agentic workflows (91.3/100).
- How fast is nex-n2.5-mini for local inference?
- Across 2 community benchmark runs, nex-n2.5-mini reaches up to 65.9 tok/s and averages 65.9 tok/s, with the fastest results on NVIDIA RTX A2000 12GB.
- How much memory does nex-n2.5-mini need?
- The leanest observed configuration used about 17.5 GB of memory.
- Which tools have been used to run nex-n2.5-mini?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.