lfm2.5:8b
OLLAMA GGUFlfm2moe · 8.5B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
qwen3-coder:30b
OLLAMA GGUFqwen3moe · 30.5B · Q4_K_M
Jun 19, 2026 · Apple M4 Max
Global Score
80 vs 89
Hardware Fit
95 vs 96
Quality Score
73 vs 86
Hardware
lfm2.5:8b qwen3-coder:30b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M4 Max
Cores1016
RAM16 GB64 GB
GPUApple M1 ProApple M4 Max
OSmacOS 26.6.2macOS 26.5.1
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2.5:8b qwen3-coder:30b
Tokens/sec98.589.9
First chunk167 ms188 ms
TTFT2.5 s188 ms
Load time3.0 s4.0 s
Memory usage6.0 GB30.2 GB
Memory %37%47%
HW Fit Score Breakdown
lfm2.5:8b
Speed
50/50
TTFT
17/20
Memory
28/30
qwen3-coder:30b
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
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
qwen3-coder:30b
Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate 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