glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
qwen2.5-0.5b-instruct
LM-STUDIO GGUFqwen2 · 0.5B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
Global Score
65 vs 53
Hardware Fit
88 vs 89
Quality Score
55 vs 38
Hardware
glm-4.6v-flash qwen2.5-0.5b-instr…
MachineMac StudioLENOVO 20BUS00700
CPUApple M2 MaxIntel Core™ i5-5300U
Cores124
RAM96 GB16 GB
GPUApple M2 MaxIntel(R) HD Graphics 5500
OSmacOS 26.1Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
glm-4.6v-flash qwen2.5-0.5b-instr…
Tokens/sec49.913.2
First chunk27 ms1339 ms
TTFT3.7 s1.3 s
Load time2.7 sN/A
Memory usage0.0 GB0.4 GB
Memory %0%2%
HW Fit Score Breakdown
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
qwen2.5-0.5b-instruct
Speed
41/50
TTFT
20/20
Memory
28/30
Quality
glm-4.6v-flash
Reasoning
0/20
Coding
16/20
Instruction
12/20
Structured
2/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Strong Instruction Following: Adequate Structured Output: Poor Math: Strong Multilingual: Strong
qwen2.5-0.5b-instruct
Reasoning
5/20
Coding
4/20
Instruction
10/20
Structured
11/15
Math
3/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
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