qwen2.5-coder:7b
OLLAMA GGUFqwen2 · 7.6B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
lfm2.5:8b
OLLAMA GGUFlfm2moe · 8.5B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
82 vs 80
Hardware Fit
100 vs 95
Quality Score
74 vs 73
Hardware
qwen2.5-coder:7b lfm2.5:8b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M1 Pro
Cores1610
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 5060 TiApple M1 Pro
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5-coder:7b lfm2.5:8b
Tokens/sec73.098.5
First chunk52 ms167 ms
TTFT52 ms2.5 s
Load time4.2 s3.0 s
Memory usage4.4 GB6.0 GB
Memory %14%37%
HW Fit Score Breakdown
qwen2.5-coder:7b
Speed
50/50
TTFT
20/20
Memory
30/30
lfm2.5:8b
Speed
50/50
TTFT
17/20
Memory
28/30
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
lfm2.5:8b
Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong 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