ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
qwen3-4b-qwen3.6-plus-reasoning-distilled
LM-STUDIO GGUFqwen3 · 4B · Q4_1
Apr 21, 2026 · Apple M2 Max
Global Score
79 vs 65
Hardware Fit
98 vs 96
Quality Score
71 vs 51
Hardware
ministral-3:8b qwen3-4b-qwen3.6-p…
MachineMac miniMac Studio
CPUApple M4 ProApple M2 Max
Cores1212
RAM24 GB96 GB
GPUApple M4 ProApple M2 Max
OSmacOS 15.6.1macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
ministral-3:8b qwen3-4b-qwen3.6-p…
Tokens/sec41.499.6
First chunk257 ms18 ms
TTFT257 ms1.6 s
Load time5.2 s4.8 s
Memory usage9.0 GB0.3 GB
Memory %38%0%
HW Fit Score Breakdown
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
qwen3-4b-qwen3.6-plus-r…
Speed
50/50
TTFT
16/20
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
qwen3-4b-qwen3.6-plus-r…
Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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