Model benchmarks
Occamy-1.0.APEX-I-MiniPlus-V2.1 local LLM performance
As of September 2026, Occamy-1.0.APEX-I-MiniPlus-V2.1 runs at up to 76.9 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
76.9 tok/s
Average speed
76.3 tok/s
Avg PP
636.5 tok/s
Min memory
16.5 GB
Max context
131,072 tokens
Avg output / run
18,197 tokens
Avg runtime / run
4m 10s
Avg quality
72.5
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 | 63.5 | 72.5 | 81.5 |
| Agent Workflow | 53.8 | 70.7 | 87.5 |
| Code Generation | 27.8 | 49.2 | 70.6 |
| Role Play & Narrative | — | 86.8 | — |
| Research & Analysis | 85.1 | 85.5 | 85.9 |
Performance by hardware and tool
Every hardware/tool/quantization combination Occamy-1.0.APEX-I-MiniPlus-V2.1 has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 5060 | llama.cpp | — | 76.9 tok/s | 76.3 tok/s | 16.5 GB | 131,072 tokens | 71.1 | 2 |
Benchmark runs
All 2 Occamy-1.0.APEX-I-MiniPlus-V2.1 runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Occamy-1.0.APEX-I-MiniPlus-V2.1 good for coding?
- In our benchmarks, Occamy-1.0.APEX-I-MiniPlus-V2.1 scores 49.2/100 for coding. It runs at about 76.3 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 Occamy-1.0.APEX-I-MiniPlus-V2.1 good for agentic (tool-using) tasks?
- In our benchmarks, Occamy-1.0.APEX-I-MiniPlus-V2.1 scores 70.7/100 for agentic workflows. It runs at about 76.3 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 Occamy-1.0.APEX-I-MiniPlus-V2.1 for local inference?
- Across 2 community benchmark runs, Occamy-1.0.APEX-I-MiniPlus-V2.1 reaches up to 76.9 tok/s and averages 76.3 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.
- How much memory does Occamy-1.0.APEX-I-MiniPlus-V2.1 need?
- The leanest observed configuration used about 16.5 GB of memory.
- Which tools have been used to run Occamy-1.0.APEX-I-MiniPlus-V2.1?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.