Model benchmarks
qwen3.6:35b local LLM performance
As of May 2026, qwen3.6:35b runs at up to 19.6 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
OllamaQ4_K_M
Model size
36.0B
Peak speed
19.6 tok/s
Average speed
16.4 tok/s
Min memory
26.1 GB
Max context
6,415 tokens
Best quality
86.9
Benchmark runs
3
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination qwen3.6:35b has been benchmarked on, ranked by peak token generation speed. Last updated May 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| Apple M5 Max | Ollama | Q4_K_M | 19.6 tok/s | 16.4 tok/s | 26.1 GB | 6,415 tokens | 78.9 | 3 |
Frequently asked questions
- How fast is qwen3.6:35b for local inference?
- Across 3 community benchmark runs, qwen3.6:35b reaches up to 19.6 tok/s and averages 16.4 tok/s, with the fastest results on Apple M5 Max.
- How much memory does qwen3.6:35b need?
- The leanest observed configuration used about 26.1 GB of memory (quantizations tested: Q4_K_M).
- Which tools have been used to run qwen3.6:35b?
- Benchmarks were submitted using Ollama. Results are community-contributed and updated as new runs arrive.