Model benchmarks
Nex-N2.5-mini.APEX-I-MiniPlus-V2.1 local LLM performance
As of October 2026, Nex-N2.5-mini.APEX-I-MiniPlus-V2.1 runs at up to 74.0 tok/s for local inference (best of 4 community benchmark runs across 2 GPUs).
Model size
Unknown
Peak speed
74.0 tok/s
Average speed
27.9 tok/s
Avg PP
308.9 tok/s
Min memory
n/a
Max context
262,144 tokens
Avg output / run
27,547 tokens
Avg runtime / run
18m 49s
Avg quality
82.9
Benchmark runs
4
GPUs tested
2
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 4 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 | 80.7 | 82.9 | 84.5 |
| Agent Workflow | 88.8 | 89.3 | 89.6 |
| Code Generation | 66.9 | 72.0 | 76.8 |
| Role Play & Narrative | 76.0 | 82.9 | 88.9 |
| Research & Analysis | 85.6 | 87.2 | 88.3 |
Performance by hardware and tool
Every hardware/tool/quantization combination Nex-N2.5-mini.APEX-I-MiniPlus-V2.1 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 GeForce RTX 5060 | llama.cpp | — | 74.0 tok/s | 74.0 tok/s | 16.2 GB | 131,072 tokens | 83.8 | 1 |
| Intel Graphics | ik_llama.cpp:cpu | — | 12.5 tok/s | 12.5 tok/s | n/a | 262,144 tokens | 82.5 | 3 |
Benchmark runs
All 4 Nex-N2.5-mini.APEX-I-MiniPlus-V2.1 runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Nex-N2.5-mini.APEX-I-MiniPlus-V2.1 good for coding?
- In our benchmarks, Nex-N2.5-mini.APEX-I-MiniPlus-V2.1 scores 72.0/100 for coding. It runs at about 27.9 tok/s, so if you want more speed, Qwen3.8-27B-oQ4e-fp16-mtp is faster (~38.6 tok/s) and still scores well for coding (82.6/100).
- Is Nex-N2.5-mini.APEX-I-MiniPlus-V2.1 good for agentic (tool-using) tasks?
- In our benchmarks, Nex-N2.5-mini.APEX-I-MiniPlus-V2.1 scores 89.3/100 for agentic workflows. It runs at about 27.9 tok/s, so if you want more speed, muse-glimmer:latest is faster (~33.3 tok/s) and still scores well for agentic workflows (91.6/100).
- How fast is Nex-N2.5-mini.APEX-I-MiniPlus-V2.1 for local inference?
- Across 4 community benchmark runs, Nex-N2.5-mini.APEX-I-MiniPlus-V2.1 reaches up to 74.0 tok/s and averages 27.9 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.
- How much memory does Nex-N2.5-mini.APEX-I-MiniPlus-V2.1 need?
- The leanest observed configuration used about n/a of memory.
- Which tools have been used to run Nex-N2.5-mini.APEX-I-MiniPlus-V2.1?
- Benchmarks were submitted using ik_llama.cpp:cpu, llama.cpp. Results are community-contributed and updated as new runs arrive.