Model benchmarks
Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-8bit local LLM performance
As of August 2026, Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-8bit runs at up to 12.0 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
oMLX
Model size
40B
Peak speed
12.0 tok/s
Average speed
10.1 tok/s
Min memory
40.3 GB
Max context
7,894 tokens
Best quality
84.0
Benchmark runs
2
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-8bit 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 |
|---|---|---|---|---|---|---|---|---|
| Apple M5 Max | oMLX | — | 12.0 tok/s | 10.1 tok/s | 40.3 GB | 7,894 tokens | 68.5 | 2 |
Frequently asked questions
- How fast is Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-8bit for local inference?
- Across 2 community benchmark runs, Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-8bit reaches up to 12.0 tok/s and averages 10.1 tok/s, with the fastest results on Apple M5 Max.
- How much memory does Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-8bit need?
- The leanest observed configuration used about 40.3 GB of memory.
- Which tools have been used to run Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-8bit?
- Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.