Model benchmarks

qwen/qwen3.5-35b-a3b local LLM performance

As of April 2026, qwen/qwen3.5-35b-a3b runs at up to 32.0 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

LM Studio
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Model size

35B

Peak speed

32.0 tok/s

Average speed

30.6 tok/s

Min memory

17.1 GB

Max context

16.384 tokens

Avg quality

71.7

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)
Overall71.771.771.8
Agent Workflow66.270.975.6
Code Generation32.847.562.2
Role Play & Narrative78.384.991.5
Research & Analysis80.583.786.8

Performance by hardware and tool

Every hardware/tool/quantization combination qwen/qwen3.5-35b-a3b has been benchmarked on, ranked by peak token generation speed. Last updated April 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
AMD Radeon RX 7900 XTXLM Studio32.0 tok/s30.6 tok/s17.1 GB16.384 tokens71.72

Benchmark runs

All 2 qwen/qwen3.5-35b-a3b runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is qwen/qwen3.5-35b-a3b good for coding?
In our benchmarks, qwen/qwen3.5-35b-a3b scores 47.5/100 for coding. It runs at about 30.6 tok/s, so if you want more speed, /home/polaris/models/Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL.gguf is faster (~35.6 tok/s) and still scores well for coding (84.9/100).
Is qwen/qwen3.5-35b-a3b good for agentic (tool-using) tasks?
In our benchmarks, qwen/qwen3.5-35b-a3b scores 70.9/100 for agentic workflows. It runs at about 30.6 tok/s, so if you want more speed, granite-4.2-8b-Q4_K_L is faster (~71.6 tok/s) and still scores well for agentic workflows (92.9/100).
How fast is qwen/qwen3.5-35b-a3b for local inference?
Across 2 community benchmark runs, qwen/qwen3.5-35b-a3b reaches up to 32.0 tok/s and averages 30.6 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
How much memory does qwen/qwen3.5-35b-a3b need?
The leanest observed configuration used about 17.1 GB of memory.
Which tools have been used to run qwen/qwen3.5-35b-a3b?
Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.