Model benchmarks
qwen/qwen3.6-27b local LLM performance
As of July 2026, qwen/qwen3.6-27b runs at up to 38.3 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
LM Studio
Model size
27B
Peak speed
38.3 tok/s
Average speed
21.7 tok/s
Min memory
16.3 GB
Max context
7,138 tokens
Best quality
91.3
Benchmark runs
3
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination qwen/qwen3.6-27b 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 |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7900 XTX | LM Studio | — | 38.3 tok/s | 21.7 tok/s | 16.3 GB | 7,138 tokens | 82.2 | 3 |
Frequently asked questions
- How fast is qwen/qwen3.6-27b for local inference?
- Across 3 community benchmark runs, qwen/qwen3.6-27b reaches up to 38.3 tok/s and averages 21.7 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
- How much memory does qwen/qwen3.6-27b need?
- The leanest observed configuration used about 16.3 GB of memory.
- Which tools have been used to run qwen/qwen3.6-27b?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.