qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Mar 16, 2026 · Intel Core™ i7-4771
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
65 vs 81
Hardware Fit
92 vs 89
Quality Score
54 vs 77
Hardware
qwen2.5:1.5b glm-4.7-flash:q4_K_M
MachineiMacASUS
CPUIntel Core™ i7-4771Intel Core™ i5-14600KF
Cores820
RAM32 GB32 GB
GPUNVIDIA GeForce GTX 780MNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 15.7.3Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
qwen2.5:1.5b glm-4.7-flash:q4_K_M
Tokens/sec19.635.1
First chunk690 ms440 ms
TTFT690 ms440 ms
Load time21.4 s11.6 s
Memory usage1.0 GB18.4 GB
Memory %3%58%
HW Fit Score Breakdown
qwen2.5:1.5b
Speed
42/50
TTFT
20/20
Memory
30/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
Quality
qwen2.5:1.5b
Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
glm-4.7-flash:q4_K_M
Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate 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