qwen2.5-coder:7b
OLLAMA GGUFqwen2 · 7.6B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
qwen3.5-2b-mlx
LM-STUDIO MLXqwen3_5 · 2B · 4bit
Mar 6, 2026 · Apple M4 Pro
Global Score
82 vs 65
Hardware Fit
100 vs 88
Quality Score
74 vs 55
Hardware
qwen2.5-coder:7b qwen3.5-2b-mlx
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4Mac mini
CPUIntel Core™ i5-14400FApple M4 Pro
Cores1614
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 5060 TiApple M4 Pro
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5-coder:7b qwen3.5-2b-mlx
Tokens/sec73.048.9
First chunk52 ms4208 ms
TTFT52 ms4.2 s
Load time4.2 sN/A
Memory usage4.4 GB1.6 GB
Memory %14%3%
HW Fit Score Breakdown
qwen2.5-coder:7b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5-2b-mlx
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
qwen2.5-coder:7b
Reasoning
10/20
Coding
19/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3.5-2b-mlx
Reasoning
10/20
Coding
7/20
Instruction
13/20
Structured
14/15
Math
3/15
Multilingual
8/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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