qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 17, 2026 · Apple M5 Max
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
59 vs 81
Hardware Fit
63 vs 89
Quality Score
58 vs 77
Hardware
qwen3.8-27b-mlx glm-4.7-flash:q4_K_M
MachineMacBook ProASUS
CPUApple M5 MaxIntel Core™ i5-14600KF
Cores1820
RAM64 GB32 GB
GPUApple M5 MaxNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 27.0Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.8-27b-mlx glm-4.7-flash:q4_K_M
Tokens/sec18.335.1
First chunk4 ms440 ms
TTFT530 ms440 ms
Load timeN/A11.6 s
Memory usage38.5 GB18.4 GB
Memory %60%58%
HW Fit Score Breakdown
qwen3.8-27b-mlx
Speed
23/50
TTFT
20/20
Memory
20/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
Quality
qwen3.8-27b-mlx
Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
glm-4.7-flash:q4_K_M
Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong 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