Model benchmarks

qwen3.5-9b-mtp@q8_0 local LLM performance

As of September 2026, qwen3.5-9b-mtp@q8_0 runs at up to 45.0 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

LM StudioQ8_0
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Model size

9B

Peak speed

45.0 tok/s

Average speed

41.9 tok/s

Min memory

10.8 GB

Max context

65,536 tokens

Avg output / run

19,609 tokens

Avg runtime / run

8m 16s

Avg quality

67.6

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)
Overall66.867.668.3
Agent Workflow63.963.964.0
Code Generation51.857.763.5
Role Play & Narrative71.478.385.1
Research & Analysis68.570.472.3

Performance by hardware and tool

Every hardware/tool/quantization combination qwen3.5-9b-mtp@q8_0 has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
AMD Radeon RX 7600 XTLM StudioQ8_045.0 tok/s41.9 tok/s10.8 GB65,536 tokens67.62

Frequently asked questions

Is qwen3.5-9b-mtp@q8_0 good for coding?
In our benchmarks, qwen3.5-9b-mtp@q8_0 scores 57.7/100 for coding. It runs at about 41.9 tok/s, so if you want more speed, Gemma4:E2B/QAT-MTP@131K is faster (~303.9 tok/s) and still scores well for coding (66.9/100).
Is qwen3.5-9b-mtp@q8_0 good for agentic (tool-using) tasks?
In our benchmarks, qwen3.5-9b-mtp@q8_0 scores 63.9/100 for agentic workflows. It runs at about 41.9 tok/s, so if you want more speed, Gemma4:E2B/QAT-MTP@131K is faster (~303.9 tok/s) and still scores well for agentic workflows (71.7/100).
How fast is qwen3.5-9b-mtp@q8_0 for local inference?
Across 2 community benchmark runs, qwen3.5-9b-mtp@q8_0 reaches up to 45.0 tok/s and averages 41.9 tok/s, with the fastest results on AMD Radeon RX 7600 XT.
How much memory does qwen3.5-9b-mtp@q8_0 need?
The leanest observed configuration used about 10.8 GB of memory (quantizations tested: Q8_0).
Which tools have been used to run qwen3.5-9b-mtp@q8_0?
Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.