Model benchmarks
qwen3.8:latest local LLM performance
As of August 2026, qwen3.8:latest runs at up to 41.9 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
OllamaQ4_K_M
Model size
27.3B
Peak speed
41.9 tok/s
Average speed
41.4 tok/s
Min memory
16.3 GB
Max context
6,647 tokens
Best quality
88.0
Benchmark runs
3
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination qwen3.8:latest 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 |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7900 XTX | Ollama | Q4_K_M | 41.9 tok/s | 41.4 tok/s | 16.3 GB | 6,647 tokens | 81.0 | 3 |
Frequently asked questions
- How fast is qwen3.8:latest for local inference?
- Across 3 community benchmark runs, qwen3.8:latest reaches up to 41.9 tok/s and averages 41.4 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
- How much memory does qwen3.8:latest need?
- The leanest observed configuration used about 16.3 GB of memory (quantizations tested: Q4_K_M).
- Which tools have been used to run qwen3.8:latest?
- Benchmarks were submitted using Ollama. Results are community-contributed and updated as new runs arrive.