Model benchmarks
nvidia-nemotron-3.5-lightning-30b-a3b local LLM performance
As of October 2026, nvidia-nemotron-3.5-lightning-30b-a3b runs at up to 111.5 tok/s for local inference (best of 2 community benchmark runs across 2 GPUs).
Model size
30B
Peak speed
111.5 tok/s
Average speed
64.2 tok/s
Avg PP
690.6 tok/s
Min memory
23.9 GB
Max context
1,048,576 tokens
Avg output / run
31,735 tokens
Avg runtime / run
23m 14s
Avg quality
77.6
Benchmark runs
2
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 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 | 76.8 | 77.6 | 78.4 |
| Agent Workflow | 88.3 | 90.2 | 92.1 |
| Code Generation | 53.1 | 60.7 | 68.2 |
| Role Play & Narrative | 75.1 | 76.4 | 77.6 |
| Research & Analysis | 82.1 | 83.2 | 84.3 |
Performance by hardware and tool
Every hardware/tool/quantization combination nvidia-nemotron-3.5-lightning-30b-a3b 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 |
|---|---|---|---|---|---|---|---|---|
| Apple M5 Max | LM Studio | Q4_K_M | 111.5 tok/s | 111.5 tok/s | 23.9 GB | 65,536 tokens | 78.5 | 1 |
| AMD Radeon RX 9070/9070 XT/9070 GRE | LM Studio | — | 17.0 tok/s | 17.0 tok/s | n/a | 1,048,576 tokens | 76.7 | 1 |
Benchmark runs
All 2 nvidia-nemotron-3.5-lightning-30b-a3b runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is unsloth/nvidia-nemotron-3.5-lightning-30b-a3b good for coding?
- In our benchmarks, unsloth/nvidia-nemotron-3.5-lightning-30b-a3b scores 60.7/100 for coding. It runs at about 64.2 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 unsloth/nvidia-nemotron-3.5-lightning-30b-a3b good for agentic (tool-using) tasks?
- In our benchmarks, unsloth/nvidia-nemotron-3.5-lightning-30b-a3b scores 90.2/100 for agentic workflows. It runs at about 64.2 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 nvidia-nemotron-3.5-lightning-30b-a3b for local inference?
- Across 2 community benchmark runs, nvidia-nemotron-3.5-lightning-30b-a3b reaches up to 111.5 tok/s and averages 64.2 tok/s, with the fastest results on Apple M5 Max.
- How much memory does nvidia-nemotron-3.5-lightning-30b-a3b need?
- The leanest observed configuration used about 23.9 GB of memory (quantizations tested: Q4_K_M).
- Which tools have been used to run nvidia-nemotron-3.5-lightning-30b-a3b?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.