glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
qwen3-4b-qwen3.6-plus-reasoning-distilled
LM-STUDIO GGUFqwen3 · 4B · Q4_1
Apr 21, 2026 · Apple M2 Max
Global Score
65 vs 65
Hardware Fit
88 vs 96
Quality Score
55 vs 51
Hardware
glm-4.6v-flash qwen3-4b-qwen3.6-p…
MachineMac StudioMac Studio
CPUApple M2 MaxApple M2 Max
Cores1212
RAM96 GB96 GB
GPUApple M2 MaxApple M2 Max
OSmacOS 26.1macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
glm-4.6v-flash qwen3-4b-qwen3.6-p…
Tokens/sec49.999.6
First chunk27 ms18 ms
TTFT3.7 s1.6 s
Load time2.7 s4.8 s
Memory usage0.0 GB0.3 GB
Memory %0%0%
HW Fit Score Breakdown
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
qwen3-4b-qwen3.6-plus-r…
Speed
50/50
TTFT
16/20
Memory
30/30
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
qwen3-4b-qwen3.6-plus-r…
Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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