Model benchmarks
Qwen3.6-35B-A3B-UD-IQ4_NL local LLM performance
As of October 2026, Qwen3.6-35B-A3B-UD-IQ4_NL runs at up to 182.4 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
35B
Peak speed
182.4 tok/s
Average speed
102.6 tok/s
Avg PP
654.3 tok/s
Min memory
26.0 GB
Max context
98,304 tokens
Avg output / run
19,120 tokens
Avg runtime / run
7m 31s
Avg quality
75.1
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 | 74.4 | 75.1 | 75.7 |
| Agent Workflow | 70.4 | 72.6 | 74.8 |
| Code Generation | 72.1 | 72.6 | 73.1 |
| Role Play & Narrative | 75.7 | 76.2 | 76.6 |
| Research & Analysis | 75.2 | 78.9 | 82.5 |
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.6-35B-A3B-UD-IQ4_NL 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 |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7900 XTX | lm-studio | — | 182.4 tok/s | 182.4 tok/s | 26.0 GB | 65,536 tokens | 74.4 | 1 |
| CPU only | vLLM | — | 22.7 tok/s | 22.7 tok/s | n/a | 98,304 tokens | 75.7 | 1 |
Benchmark runs
All 2 Qwen3.6-35B-A3B-UD-IQ4_NL runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Qwen3.6-35B-A3B-UD-IQ4_NL good for coding?
- In our benchmarks, Qwen3.6-35B-A3B-UD-IQ4_NL scores 72.6/100 for coding. It runs at about 102.6 tok/s, so if you want more speed, Qwen3.6-35B-A3B-Q4_K_XL is faster (~156.9 tok/s) and still scores well for coding (82.2/100).
- Is Qwen3.6-35B-A3B-UD-IQ4_NL good for agentic (tool-using) tasks?
- In our benchmarks, Qwen3.6-35B-A3B-UD-IQ4_NL scores 72.6/100 for agentic workflows. It runs at about 102.6 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-Q4_K_S is faster (~162.4 tok/s) and still scores well for agentic workflows (87.8/100).
- How fast is Qwen3.6-35B-A3B-UD-IQ4_NL for local inference?
- Across 2 community benchmark runs, Qwen3.6-35B-A3B-UD-IQ4_NL reaches up to 182.4 tok/s and averages 102.6 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
- How much memory does Qwen3.6-35B-A3B-UD-IQ4_NL need?
- The leanest observed configuration used about 26.0 GB of memory.
- Which tools have been used to run Qwen3.6-35B-A3B-UD-IQ4_NL?
- Benchmarks were submitted using lm-studio, vLLM. Results are community-contributed and updated as new runs arrive.