Is Qwen3.6-35B-A3B-IQ4_NL good for agentic (tool-using) tasks?

In our benchmarks, Qwen3.6-35B-A3B-IQ4_NL scores 74.7/100 for agentic workflows. It runs at about 164.8 tok/s, so if you want more speed, mudler/Ornith-1.5-35B-A3B-APEX-MTP-GGUF is faster (~190.9 tok/s) and still scores well for agentic workflows (85.7/100).

How fast is Qwen3.6-35B-A3B-IQ4_NL for local inference?

Across 17 community benchmark runs, Qwen3.6-35B-A3B-IQ4_NL reaches up to 174.2 tok/s and averages 164.8 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.

Which tools have been used to run Qwen3.6-35B-A3B-IQ4_NL?

Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.

Model benchmarks

Qwen3.6-35B-A3B-IQ4_NL local LLM performance

As of September 2026, Qwen3.6-35B-A3B-IQ4_NL runs at up to 174.2 tok/s for local inference (best of 17 community benchmark runs across 1 GPU).

llama.cpp

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Model size

35B

Peak speed

174.2 tok/s

Average speed

164.8 tok/s

Min memory

n/a

Max context

65,536 tokens

Avg output / run

16,794 tokens

Avg runtime / run

1m 43s

Avg quality

75.9

Benchmark runs

GPUs tested

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 17 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	70.9	75.9	82.1
Agent Workflow	66.0	74.7	81.6
Code Generation	53.1	67.1	77.0
Role Play & Narrative	73.6	83.0	90.3
Research & Analysis	70.7	78.7	85.4

Performance by hardware and tool

Every hardware/tool/quantization combination Qwen3.6-35B-A3B-IQ4_NL has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.

Hardware	Tool	Quant	Best tok/s	Avg tok/s	Memory	Context	Quality	Runs
AMD Radeon RX 7900 XTX	llama.cpp	—	174.2 tok/s	164.8 tok/s	n/a	65,536 tokens	75.9	17

Benchmark runs

All 17 Qwen3.6-35B-A3B-IQ4_NL runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

Is Qwen3.6-35B-A3B-IQ4_NL good for agentic (tool-using) tasks?: In our benchmarks, Qwen3.6-35B-A3B-IQ4_NL scores 74.7/100 for agentic workflows. It runs at about 164.8 tok/s, so if you want more speed, mudler/Ornith-1.5-35B-A3B-APEX-MTP-GGUF is faster (~190.9 tok/s) and still scores well for agentic workflows (85.7/100).
How fast is Qwen3.6-35B-A3B-IQ4_NL for local inference?: Across 17 community benchmark runs, Qwen3.6-35B-A3B-IQ4_NL reaches up to 174.2 tok/s and averages 164.8 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
Which tools have been used to run Qwen3.6-35B-A3B-IQ4_NL?: Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.