ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
qwen3.8-27b-claude-opus-reasoning-distilled
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Aug 20, 2026 · Apple M4 Max
Global Score
79 vs 80
Hardware Fit
98 vs 63
Quality Score
71 vs 87
Hardware
ministral-3:8b qwen3.8-27b-claude…
MachineMac miniMacBook Pro
CPUApple M4 ProApple M4 Max
Cores1216
RAM24 GB128 GB
GPUApple M4 ProApple M4 Max
OSmacOS 15.6.1macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced
Performance
ministral-3:8b qwen3.8-27b-claude…
Tokens/sec41.424.0
First chunk257 ms20 ms
TTFT257 ms4.5 s
Load time5.2 sN/A
Memory usage9.0 GB15.7 GB
Memory %38%12%
HW Fit Score Breakdown
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
qwen3.8-27b-claude-opus…
Speed
27/50
TTFT
6/20
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-claude-opus…
Reasoning
19/20
Coding
18/20
Instruction
11/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong 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