Model benchmarks
qwen3.5:27b local LLM performance
As of July 2026, qwen3.5:27b runs at up to 10.5 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
OllamaQ4_K_M
Model size
27.8B
Peak speed
10.5 tok/s
Average speed
9.2 tok/s
Min memory
15.7 GB
Max context
6,859 tokens
Best quality
82.0
Benchmark runs
2
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination qwen3.5:27b has been benchmarked on, ranked by peak token generation speed. Last updated July 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| Apple M4 Pro | Ollama | Q4_K_M | 10.5 tok/s | 9.2 tok/s | 15.7 GB | 6,859 tokens | 55.6 | 2 |
Frequently asked questions
- How fast is qwen3.5:27b for local inference?
- Across 2 community benchmark runs, qwen3.5:27b reaches up to 10.5 tok/s and averages 9.2 tok/s, with the fastest results on Apple M4 Pro.
- How much memory does qwen3.5:27b need?
- The leanest observed configuration used about 15.7 GB of memory (quantizations tested: Q4_K_M).
- Which tools have been used to run qwen3.5:27b?
- Benchmarks were submitted using Ollama. Results are community-contributed and updated as new runs arrive.