qwen2.5-7b-instruct
LM-STUDIO MLXqwen2 · 7B · 4bit
Mar 3, 2026 · Apple M4
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Aug 25, 2026 · Apple M1 Pro
Global Score
82 vs 72
Hardware Fit
92 vs 71
Quality Score
78 vs 72
Hardware
qwen2.5-7b-instruct ministral-3:8b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen2.5-7b-instruct ministral-3:8b
Tokens/sec22.019.8
First chunk477 ms269 ms
TTFT477 ms269 ms
Load timeN/A10.7 s
Memory usage4.0 GB13.7 GB
Memory %13%86%
HW Fit Score Breakdown
qwen2.5-7b-instruct
Speed
43/50
TTFT
20/20
Memory
29/30
ministral-3:8b
Speed
44/50
TTFT
20/20
Memory
7/30
Quality
qwen2.5-7b-instruct
Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
ministral-3:8b
Reasoning
12/20
Coding
18/20
Instruction
13/20
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest