Model benchmarks

qwen3 local LLM performance

As of September 2026, qwen3 runs at up to 38.8 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).

llama.cpp
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Model size

Unknown

Peak speed

38.8 tok/s

Average speed

35.7 tok/s

Avg PP

380.5 tok/s

Min memory

n/a

Max context

262,144 tokens

Avg output / run

14,351 tokens

Avg runtime / run

6m 45s

Avg quality

83.0

Benchmark runs

3

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 3 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)
Overall80.683.085.3
Agent Workflow81.082.885.9
Code Generation63.673.782.3
Role Play & Narrative91.892.192.4
Research & Analysis81.083.585.6

Performance by hardware and tool

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

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
AMD Radeon RX 6700/6700 XT/6750 XT / 6800M/6850M XTllama.cpp—38.8 tok/s35.7 tok/sn/a262,144 tokens83.03

Benchmark runs

All 3 qwen3 runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is qwen3 good for coding?
In our benchmarks, qwen3 scores 73.7/100 for coding. It runs at about 35.7 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 qwen3 good for agentic (tool-using) tasks?
In our benchmarks, qwen3 scores 82.8/100 for agentic workflows. It runs at about 35.7 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 qwen3 for local inference?
Across 3 community benchmark runs, qwen3 reaches up to 38.8 tok/s and averages 35.7 tok/s, with the fastest results on AMD Radeon RX 6700/6700 XT/6750 XT / 6800M/6850M XT.
Which tools have been used to run qwen3?
Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.