Model benchmarks

qwen38-daily:latest local LLM performance

As of November 2026, qwen38-daily:latest runs at up to 26.7 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

OllamaIQ3_S
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Model size

27.3B

Peak speed

26.7 tok/s

Average speed

26.1 tok/s

Avg PP

302.1 tok/s

Min memory

15.1 GB

Max context

32,768 tokens

Avg output / run

17,153 tokens

Avg runtime / run

11m 5s

Avg quality

81.9

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)
Overall79.481.984.3
Agent Workflow77.579.180.6
Code Generation74.879.884.8
Role Play & Narrative74.182.691.0
Research & Analysis84.086.188.2

Performance by hardware and tool

Every hardware/tool/quantization combination qwen38-daily:latest has been benchmarked on, ranked by peak token generation speed. Last updated November 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
AMD Radeon RX 7600 XTOllamaIQ3_S26.7 tok/s26.1 tok/s15.1 GB32,768 tokens81.92

Benchmark runs

All 2 qwen38-daily:latest runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is qwen38-daily:latest good for coding?
In our benchmarks, qwen38-daily:latest scores 79.8/100 for coding. It runs at about 26.1 tok/s, so if you want more speed, Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_XXS-mtp is faster (~37.5 tok/s) and still scores well for coding (83.8/100).
Is qwen38-daily:latest good for agentic (tool-using) tasks?
In our benchmarks, qwen38-daily:latest scores 79.1/100 for agentic workflows. It runs at about 26.1 tok/s, so if you want more speed, muse-glimmer:latest is faster (~33.3 tok/s) and still scores well for agentic workflows (91.6/100).
How fast is qwen38-daily:latest for local inference?
Across 2 community benchmark runs, qwen38-daily:latest reaches up to 26.7 tok/s and averages 26.1 tok/s, with the fastest results on AMD Radeon RX 7600 XT.
How much memory does qwen38-daily:latest need?
The leanest observed configuration used about 15.1 GB of memory (quantizations tested: IQ3_S).
Which tools have been used to run qwen38-daily:latest?
Benchmarks were submitted using Ollama. Results are community-contributed and updated as new runs arrive.