qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 19, 2026 · Apple M4 Max
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
80 vs 81
Hardware Fit
52 vs 89
Quality Score
92 vs 77
Hardware
qwen/qwen3.8-27b glm-4.7-flash:q4_K_M
MachineMacBook ProASUS
CPUApple M4 MaxIntel Core™ i5-14600KF
Cores1620
RAM128 GB32 GB
GPUApple M4 MaxNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.5.2Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen/qwen3.8-27b glm-4.7-flash:q4_K_M
Tokens/sec16.135.1
First chunk14 ms440 ms
TTFT5.8 s440 ms
Load time8.5 s11.6 s
Memory usage0.0 GB18.4 GB
Memory %0%58%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
17/50
TTFT
5/20
Memory
30/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
Quality
qwen/qwen3.8-27b
Reasoning
19/20
Coding
16/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
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