ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
qwen3.8:27b-q8_0
OLLAMA GGUFqwen35 · 27.3B · Q8_0
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
Global Score
79 vs 89
Hardware Fit
98 vs 88
Quality Score
71 vs 89
Hardware
ministral-3:8b qwen3.8:27b-q8_0
MachineMac miniDell Inc. PowerEdge XE8545
CPUApple M4 ProAMD EPYC 7713 64-Core Processor
Cores12128
RAM24 GB1007 GB
GPUApple M4 ProGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 15.6.1Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown
Performance
ministral-3:8b qwen3.8:27b-q8_0
Tokens/sec41.439.9
First chunk257 ms192 ms
TTFT257 ms192 ms
Load time5.2 s19.0 s
Memory usage9.0 GB51.0 GB
Memory %38%5%
HW Fit Score Breakdown
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
qwen3.8:27b-q8_0
Speed
38/50
TTFT
20/20
Memory
30/30
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-q8_0
Reasoning
18/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest