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Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

Global Score
90 vs 79
Hardware Fit
97 vs 98
Quality Score
87 vs 71

Hardware

Qwen3.8-27B-UD-Q3_… ministral-3:8b
MachineMac mini
CPUIntel Gen Intel® Core™ i5-12600KApple M4 Pro
Cores1612
RAM31 GB24 GB
GPUAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]Apple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 15.6.1
Archx64arm64
Power Modelow-powerbalanced

Performance

Qwen3.8-27B-UD-Q3_… ministral-3:8b
Tokens/sec39.041.4
First chunk305 ms257 ms
TTFT305 ms257 ms
Load time0.0 s5.2 s
Memory usage12.5 GB9.0 GB
Memory %41%38%

HW Fit Score Breakdown

Qwen3.8-27B-UD-Q3_K_XL

Speed
50/50
TTFT
20/20
Memory
27/30

ministral-3:8b

Speed
50/50
TTFT
20/20
Memory
28/30

Quality

Qwen3.8-27B-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest