Model benchmarks

Qwen3.6-35B-A3B-oQ4e-mtp local LLM performance

As of September 2026, Qwen3.6-35B-A3B-oQ4e-mtp runs at up to 85.8 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

oMLX
ShareRedditX

Model size

35B

Peak speed

85.8 tok/s

Average speed

81.4 tok/s

Avg PP

582.7 tok/s

Min memory

20.9 GB

Max context

262.144 tokens

Avg output / run

15.422 tokens

Avg runtime / run

3m 25s

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.

TaskP5 (low)AvgP95 (high)
Overall70.875.179.4
Agent Workflow75.477.479.3
Code Generation53.364.375.2
Role Play & Narrative78.783.488.0
Research & Analysis71.875.579.1

Performance by hardware and tool

Every hardware/tool/quantization combination Qwen3.6-35B-A3B-oQ4e-mtp has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
Apple M4 ProoMLX85.8 tok/s81.4 tok/s20.9 GB262.144 tokens75.12

Benchmark runs

All 2 Qwen3.6-35B-A3B-oQ4e-mtp runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is Qwen3.6-35B-A3B-oQ4e-mtp good for coding?
In our benchmarks, Qwen3.6-35B-A3B-oQ4e-mtp scores 64.3/100 for coding. It runs at about 81.4 tok/s, so if you want more speed, unsloth/Qwen3.8-27B-GGUF:IQ3_S is faster (~104.3 tok/s) and still scores well for coding (83.0/100).
Is Qwen3.6-35B-A3B-oQ4e-mtp good for agentic (tool-using) tasks?
In our benchmarks, Qwen3.6-35B-A3B-oQ4e-mtp scores 77.4/100 for agentic workflows. It runs at about 81.4 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-Q4_K_S is faster (~165.0 tok/s) and still scores well for agentic workflows (89.3/100).
How fast is Qwen3.6-35B-A3B-oQ4e-mtp for local inference?
Across 2 community benchmark runs, Qwen3.6-35B-A3B-oQ4e-mtp reaches up to 85.8 tok/s and averages 81.4 tok/s, with the fastest results on Apple M4 Pro.
How much memory does Qwen3.6-35B-A3B-oQ4e-mtp need?
The leanest observed configuration used about 20.9 GB of memory.
Which tools have been used to run Qwen3.6-35B-A3B-oQ4e-mtp?
Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.