Model benchmarks

qwen3.5:4b local LLM performance

As of September 2026, qwen3.5:4b runs at up to 96.4 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

OllamaQ4_K_M
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Model size

4.7B

Peak speed

96.4 tok/s

Average speed

60.5 tok/s

Avg prefill

1880.4 tok/s

Min memory

5.2 GB

Max context

65,536 tokens

Avg output / run

20,648 tokens

Avg runtime / run

8m 49s

Avg quality

54.9

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)
Overall50.654.959.2
Agent Workflow40.851.662.4
Code Generation21.724.727.6
Role Play & Narrative74.676.478.2
Research & Analysis65.467.168.8

Performance by hardware and tool

Every hardware/tool/quantization combination qwen3.5:4b has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
AMD Radeon RX 7700 XT / 7800 XTOllamaQ4_K_M96.4 tok/s60.5 tok/s5.2 GB65,536 tokens54.92

Frequently asked questions

Is qwen3.5:4b good for coding?
In our benchmarks, qwen3.5:4b scores 24.7/100 for coding. It runs at about 60.5 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 qwen3.5:4b good for agentic (tool-using) tasks?
In our benchmarks, qwen3.5:4b scores 51.6/100 for agentic workflows. It runs at about 60.5 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 qwen3.5:4b for local inference?
Across 2 community benchmark runs, qwen3.5:4b reaches up to 96.4 tok/s and averages 60.5 tok/s, with the fastest results on AMD Radeon RX 7700 XT / 7800 XT.
How much memory does qwen3.5:4b need?
The leanest observed configuration used about 5.2 GB of memory (quantizations tested: Q4_K_M).
Which tools have been used to run qwen3.5:4b?
Benchmarks were submitted using Ollama. Results are community-contributed and updated as new runs arrive.