Model benchmarks
Qwen3.6-35B-A3B-GSQ-hybrid local LLM performance
As of October 2026, Qwen3.6-35B-A3B-GSQ-hybrid runs at up to 84.3 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
35B
Peak speed
84.3 tok/s
Average speed
83.8 tok/s
Avg PP
1131.9 tok/s
Min memory
17.6 GB
Max context
262,144 tokens
Avg output / run
15,933 tokens
Avg runtime / run
3m 17s
Avg quality
77.9
Benchmark runs
2
GPUs tested
1
Quality by task
Average LLM-judged quality (0–100) with the run-to-run spread shown as a P5–P95 band, overall and for each benchmark task, across all 2 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.
| Task | P5 (low) | Avg | P95 (high) |
|---|---|---|---|
| Overall | 75.8 | 77.9 | 80.0 |
| Agent Workflow | 71.8 | 78.5 | 85.3 |
| Code Generation | 66.5 | 66.9 | 67.4 |
| Role Play & Narrative | 88.4 | 88.5 | 88.7 |
| Research & Analysis | 76.7 | 77.7 | 78.6 |
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.6-35B-A3B-GSQ-hybrid has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 5060 | llama.cpp | — | 84.3 tok/s | 83.8 tok/s | 17.6 GB | 262,144 tokens | 77.9 | 2 |
Benchmark runs
All 2 Qwen3.6-35B-A3B-GSQ-hybrid runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Qwen3.6-35B-A3B-GSQ-hybrid good for coding?
- In our benchmarks, Qwen3.6-35B-A3B-GSQ-hybrid scores 66.9/100 for coding. It runs at about 83.8 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-MLX-oQ4e is faster (~107.9 tok/s) and still scores well for coding (81.5/100).
- Is Qwen3.6-35B-A3B-GSQ-hybrid good for agentic (tool-using) tasks?
- In our benchmarks, Qwen3.6-35B-A3B-GSQ-hybrid scores 78.5/100 for agentic workflows. It runs at about 83.8 tok/s, so if you want more speed, Ornith-1.5-35B-A3B-GSQ-RCO-3bit is faster (~97.1 tok/s) and still scores well for agentic workflows (87.5/100).
- How fast is Qwen3.6-35B-A3B-GSQ-hybrid for local inference?
- Across 2 community benchmark runs, Qwen3.6-35B-A3B-GSQ-hybrid reaches up to 84.3 tok/s and averages 83.8 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.
- How much memory does Qwen3.6-35B-A3B-GSQ-hybrid need?
- The leanest observed configuration used about 17.6 GB of memory.
- Which tools have been used to run Qwen3.6-35B-A3B-GSQ-hybrid?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.