qwen2.5:7b
OLLAMA GGUFqwen2 · 7.6B · Q4_K_M
Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
85 vs 81
Hardware Fit
100 vs 89
Quality Score
79 vs 77
Hardware
qwen2.5:7b glm-4.7-flash:q4_K_M
MachineMACHENIKE L16PASUS
CPUIntel Gen Intel® Core™ i9-12900HXIntel Core™ i5-14600KF
Cores2420
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUNVIDIA GeForce RTX 4070 Ti SUPER
OSMicrosoft Windows 11 专业版 10.0.26300Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
qwen2.5:7b glm-4.7-flash:q4_K_M
Tokens/sec52.435.1
First chunk48 ms440 ms
TTFT48 ms440 ms
Load time2.0 s11.6 s
Memory usage4.4 GB18.4 GB
Memory %14%58%
HW Fit Score Breakdown
qwen2.5:7b
Speed
50/50
TTFT
20/20
Memory
30/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
Quality
qwen2.5:7b
Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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