Model benchmarks

qwen36-35b_VISION local LLM performance

As of August 2026, qwen36-35b_VISION runs at up to 33.9 tok/s for local inference (best of 5 community benchmark runs across 1 GPU).

LM Studio
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Model size

35B

Peak speed

33.9 tok/s

Average speed

33.1 tok/s

Min memory

n/a

Max context

8,192 tokens

Avg runtime / run

4m 56s

Avg quality

67.0

Benchmark runs

5

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 5 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)
Overall59.667.074.4
Agent Workflow30.152.977.8
Code Generation57.360.766.0
Role Play & Narrative79.681.685.5
Research & Analysis70.273.075.6

Performance by hardware and tool

Every hardware/tool/quantization combination qwen36-35b_VISION has been benchmarked on, ranked by peak token generation speed. Last updated August 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
NVIDIA GeForce RTX 3080LM Studio—33.9 tok/s33.1 tok/sn/a8,192 tokens67.05

Benchmark runs

All 5 qwen36-35b_VISION runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is qwen36-35b_VISION good for coding?
In our benchmarks, qwen36-35b_VISION scores 60.7/100 for coding. It runs at about 33.1 tok/s, so if you want more speed, local-qwen is faster (~60.2 tok/s) and still scores well for coding (84.8/100).
Is qwen36-35b_VISION good for agentic (tool-using) tasks?
In our benchmarks, qwen36-35b_VISION scores 52.9/100 for agentic workflows. It runs at about 33.1 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 qwen36-35b_VISION for local inference?
Across 5 community benchmark runs, qwen36-35b_VISION reaches up to 33.9 tok/s and averages 33.1 tok/s, with the fastest results on NVIDIA GeForce RTX 3080.
Which tools have been used to run qwen36-35b_VISION?
Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.