glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
Global Score
65 vs 88
Hardware Fit
88 vs 70
Quality Score
55 vs 96
Hardware
glm-4.6v-flash qwen3.8-27b-fable-…
MachineMac StudioMacBook Pro
CPUApple M2 MaxApple M4 Max
Cores1216
RAM96 GB128 GB
GPUApple M2 MaxApple M4 Max
OSmacOS 26.1macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced
Performance
glm-4.6v-flash qwen3.8-27b-fable-…
Tokens/sec49.930.4
First chunk27 ms27 ms
TTFT3.7 s4.4 s
Load time2.7 sN/A
Memory usage0.0 GB19.9 GB
Memory %0%16%
HW Fit Score Breakdown
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
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
qwen3.8-27b-fable-fusio…
Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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