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qwen2.5vl:3b

OLLAMA GGUF

qwen25vl · 3.8B · Q4_K_M

Good

Oct 31, 2026 · Intel Gen Intel® Core™ i9-12900H

glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
77 vs 81
Hardware Fit
100 vs 89
Quality Score
67 vs 77

Hardware

qwen2.5vl:3b glm-4.7-flash:q4_K_M
MachineMicro-Star International Co., Ltd. Stealth GS77 12UHASUS
CPUIntel Gen Intel® Core™ i9-12900HIntel Core™ i5-14600KF
Cores2020
RAM32 GB32 GB
GPUIntel(R) Iris(R) Xe Graphics, NVIDIA GeForce RTX 3080 Laptop GPUNVIDIA GeForce RTX 4070 Ti SUPER
OSMicrosoft Windows 11 Home 10.0.26200Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5vl:3b glm-4.7-flash:q4_K_M
Tokens/sec106.535.1
First chunk68 ms440 ms
TTFT68 ms440 ms
Load time17.8 s11.6 s
Memory usage2.8 GB18.4 GB
Memory %9%58%

HW Fit Score Breakdown

qwen2.5vl:3b

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

qwen2.5vl:3b

Reasoning
11/20
Coding
15/20
Instruction
12/20
Structured
14/15
Math
6/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest