mistral:7b
OLLAMA GGUFllama · 7.2B · Q4_K_M
Mar 6, 2026 · Apple M4
qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 20, 2026 · Apple M1 Pro
Global Score
70 vs 78
Hardware Fit
94 vs 56
Quality Score
60 vs 87
Hardware
mistral:7b qwen3.8-27b-mlx
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
mistral:7b qwen3.8-27b-mlx
Tokens/sec22.510.8
First chunk252 ms8 ms
TTFT252 ms2.6 s
Load time0.7 sN/A
Memory usage10.1 GB21.0 GB
Memory %32%66%
HW Fit Score Breakdown
mistral:7b
Speed
44/50
TTFT
20/20
Memory
30/30
qwen3.8-27b-mlx
Speed
23/50
TTFT
16/20
Memory
17/30
Quality
mistral:7b
Reasoning
8/20
Coding
12/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
qwen3.8-27b-mlx
Reasoning
18/20
Coding
18/20
Instruction
15/20
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