Model benchmarks
NVIDIA-Nemotron-3.5-Lightning-30B-A3B-mlx-oQ8e local LLM performance
As of August 2026, NVIDIA-Nemotron-3.5-Lightning-30B-A3B-mlx-oQ8e runs at up to 106.6 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
30B
Peak speed
106.6 tok/s
Average speed
106.5 tok/s
Min memory
31.8 GB
Max context
262,144 tokens
Avg runtime / run
7m 9s
Avg quality
77.9
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 | 77.4 | 77.9 | 78.3 |
| Agent Workflow | 80.1 | 84.4 | 88.6 |
| Code Generation | 69.5 | 69.9 | 70.4 |
| Role Play & Narrative | 78.8 | 81.1 | 83.3 |
| Research & Analysis | 72.0 | 76.1 | 80.3 |
Performance by hardware and tool
Every hardware/tool/quantization combination NVIDIA-Nemotron-3.5-Lightning-30B-A3B-mlx-oQ8e has been benchmarked on, ranked by peak token generation speed. Last updated August 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| Apple M5 Max | oMLX | — | 106.6 tok/s | 106.5 tok/s | 31.8 GB | 262,144 tokens | 77.9 | 2 |
Benchmark runs
All 2 NVIDIA-Nemotron-3.5-Lightning-30B-A3B-mlx-oQ8e runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is NVIDIA-Nemotron-3.5-Lightning-30B-A3B-mlx-oQ8e good for coding?
- In our benchmarks, NVIDIA-Nemotron-3.5-Lightning-30B-A3B-mlx-oQ8e scores 69.9/100 for coding. It runs at about 106.5 tok/s, so if you want more speed, Qwen3.6-35B-A3B-Q4_K_XL is faster (~156.9 tok/s) and still scores well for coding (82.2/100).
- Is NVIDIA-Nemotron-3.5-Lightning-30B-A3B-mlx-oQ8e good for agentic (tool-using) tasks?
- In our benchmarks, NVIDIA-Nemotron-3.5-Lightning-30B-A3B-mlx-oQ8e scores 84.4/100 for agentic workflows. It runs at about 106.5 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-Q4_K_S is faster (~162.4 tok/s) and still scores well for agentic workflows (87.8/100).
- How fast is NVIDIA-Nemotron-3.5-Lightning-30B-A3B-mlx-oQ8e for local inference?
- Across 2 community benchmark runs, NVIDIA-Nemotron-3.5-Lightning-30B-A3B-mlx-oQ8e reaches up to 106.6 tok/s and averages 106.5 tok/s, with the fastest results on Apple M5 Max.
- How much memory does NVIDIA-Nemotron-3.5-Lightning-30B-A3B-mlx-oQ8e need?
- The leanest observed configuration used about 31.8 GB of memory.
- Which tools have been used to run NVIDIA-Nemotron-3.5-Lightning-30B-A3B-mlx-oQ8e?
- Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.