lfm2.5:8b
OLLAMA GGUFlfm2moe · 8.5B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Qwen3-Coder-30B:30b
OLLAMA GGUFqwen3moe · 30.5B · Q4_K_M
Aug 18, 2026 · Intel Core™ i7-14700F
Global Score
80 vs 91
Hardware Fit
95 vs 100
Quality Score
73 vs 87
Hardware
lfm2.5:8b Qwen3-Coder-30B:30b
MachineMacBook ProHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUApple M1 ProIntel Core™ i7-14700F
Cores1028
RAM16 GB128 GB
GPUApple M1 ProNVIDIA GeForce RTX 5080
OSmacOS 26.6.2Microsoft Windows 11 Enterprise 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
lfm2.5:8b Qwen3-Coder-30B:30b
Tokens/sec98.574.0
First chunk167 ms381 ms
TTFT2.5 s381 ms
Load time3.0 s15.3 s
Memory usage6.0 GB17.9 GB
Memory %37%14%
HW Fit Score Breakdown
lfm2.5:8b
Speed
50/50
TTFT
17/20
Memory
28/30
Qwen3-Coder-30B:30b
Speed
50/50
TTFT
20/20
Memory
30/30
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:30b
Reasoning
16/20
Coding
19/20
Instruction
16/20
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