glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
Global Score
65 vs 66
Hardware Fit
88 vs 100
Quality Score
55 vs 52
Hardware
glm-4.6v-flash hf.co/empero-ai/Qw…
MachineMac StudioMacBook Pro
CPUApple M2 MaxApple M4
Cores1210
RAM96 GB16 GB
GPUApple M2 MaxApple M4
OSmacOS 26.1macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
glm-4.6v-flash hf.co/empero-ai/Qw…
Tokens/sec49.926.5
First chunk27 ms447 ms
TTFT3.7 s447 ms
Load time2.7 s3.3 s
Memory usage0.0 GB4.8 GB
Memory %0%30%
HW Fit Score Breakdown
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
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
hf.co/empero-ai/Qwen3.8…
Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
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