Model benchmarks
qwen/qwen3.5-9b local LLM performance
As of August 2026, qwen/qwen3.5-9b runs at up to 72.6 tok/s for local inference (best of 2 community benchmark runs across 2 GPUs).
LM Studio
Model size
9B
Peak speed
72.6 tok/s
Average speed
67.7 tok/s
Min memory
4.4 GB
Max context
8,192 tokens
Best quality
78.6
Benchmark runs
2
GPUs tested
2
Performance by hardware and tool
Every hardware/tool/quantization combination qwen/qwen3.5-9b 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 |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 4070 Ti | LM Studio | — | 72.6 tok/s | 72.6 tok/s | 4.4 GB | 8,192 tokens | 57.6 | 1 |
| NVIDIA GeForce RTX 4070 Ti SUPER | LM Studio | — | 62.7 tok/s | 62.7 tok/s | 9.7 GB | 7,457 tokens | 68.9 | 1 |
Frequently asked questions
- How fast is qwen/qwen3.5-9b for local inference?
- Across 2 community benchmark runs, qwen/qwen3.5-9b reaches up to 72.6 tok/s and averages 67.7 tok/s, with the fastest results on NVIDIA GeForce RTX 4070 Ti.
- How much memory does qwen/qwen3.5-9b need?
- The leanest observed configuration used about 4.4 GB of memory.
- Which tools have been used to run qwen/qwen3.5-9b?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.