hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
Global Score
66 vs 65
Hardware Fit
100 vs 88
Quality Score
52 vs 55
Hardware
hf.co/empero-ai/Qw… glm-4.6v-flash
MachineMacBook ProMac Studio
CPUApple M4Apple M2 Max
Cores1012
RAM16 GB96 GB
GPUApple M4Apple M2 Max
OSmacOS 26.6.1macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… glm-4.6v-flash
Tokens/sec26.549.9
First chunk447 ms27 ms
TTFT447 ms3.7 s
Load time3.3 s2.7 s
Memory usage4.8 GB0.0 GB
Memory %30%0%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
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
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
Run yours and compare
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Or run without installing: npx metrillm@latest