Model benchmarks
qwen3.5:latest local LLM performance
As of July 2026, qwen3.5:latest runs at up to 69.5 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
OllamaQ4_K_M
Model size
9.7B
Peak speed
69.5 tok/s
Average speed
52.7 tok/s
Min memory
5.5 GB
Max context
6,674 tokens
Best quality
90.4
Benchmark runs
2
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination qwen3.5:latest 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 |
|---|---|---|---|---|---|---|---|---|
| CPU only | Ollama | Q4_K_M | 69.5 tok/s | 69.5 tok/s | 5.5 GB | 6,674 tokens | 38.0 | 1 |
| Apple M4 Pro | Ollama | Q4_K_M | 35.9 tok/s | 35.9 tok/s | 5.5 GB | 6,426 tokens | 26.4 | 1 |
Frequently asked questions
- How fast is qwen3.5:latest for local inference?
- Across 2 community benchmark runs, qwen3.5:latest reaches up to 69.5 tok/s and averages 52.7 tok/s.
- How much memory does qwen3.5:latest need?
- The leanest observed configuration used about 5.5 GB of memory (quantizations tested: Q4_K_M).
- Which tools have been used to run qwen3.5:latest?
- Benchmarks were submitted using Ollama. Results are community-contributed and updated as new runs arrive.