Model benchmarks
qwen3.6:latest local LLM performance
As of July 2026, qwen3.6:latest runs at up to 83.0 tok/s for local inference (best of 9 community benchmark runs across 1 GPU).
OllamaQ4_K_M
Model size
36.0B
Peak speed
83.0 tok/s
Average speed
19.6 tok/s
Min memory
22.9 GB
Max context
8,088 tokens
Best quality
92.7
Benchmark runs
9
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination qwen3.6: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 |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7900 XTX | Ollama | Q4_K_M | 83.0 tok/s | 19.6 tok/s | 22.9 GB | 8,088 tokens | 76.1 | 9 |
Frequently asked questions
- How fast is qwen3.6:latest for local inference?
- Across 9 community benchmark runs, qwen3.6:latest reaches up to 83.0 tok/s and averages 19.6 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
- How much memory does qwen3.6:latest need?
- The leanest observed configuration used about 22.9 GB of memory (quantizations tested: Q4_K_M).
- Which tools have been used to run qwen3.6:latest?
- Benchmarks were submitted using Ollama. Results are community-contributed and updated as new runs arrive.