qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
81 vs 60
Hardware Fit
95 vs 80
Quality Score
75 vs 52
Hardware
qwen3:8b lfm2.5-thinking:1.2b
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M4 Pro
Cores2014
RAM32 GB48 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.4.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3:8b lfm2.5-thinking:1.2b
Tokens/sec108.3227.0
First chunk169 ms60 ms
TTFT169 ms30.0 s
Load time1.7 s0.7 s
Memory usage5.6 GB2.6 GB
Memory %18%6%
HW Fit Score Breakdown
qwen3:8b
Speed
50/50
TTFT
20/20
Memory
25/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
qwen3:8b
Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
lfm2.5-thinking:1.2b
Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak 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