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ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

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

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

Hardware

ministral-3:8b Qwen3.8-27B-UD-Q3_…
MachineMac mini
CPUApple M4 ProIntel Gen Intel® Core™ i5-12600K
Cores1216
RAM24 GB31 GB
GPUApple M4 ProAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSmacOS 15.6.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

ministral-3:8b Qwen3.8-27B-UD-Q3_…
Tokens/sec41.439.0
First chunk257 ms305 ms
TTFT257 ms305 ms
Load time5.2 s0.0 s
Memory usage9.0 GB12.5 GB
Memory %38%41%

HW Fit Score Breakdown

ministral-3:8b

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

Qwen3.8-27B-UD-Q3_K_XL

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

Quality

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

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

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