qwen3.5:9b-mlx
OLLAMA GGUFnvfp4
Aug 25, 2026 · Apple M1 Pro
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
84 vs 81
Hardware Fit
94 vs 89
Quality Score
80 vs 77
Hardware
qwen3.5:9b-mlx glm-4.7-flash:q4_K_M
MachineMacBook ProASUS
CPUApple M1 ProIntel Core™ i5-14600KF
Cores1020
RAM16 GB32 GB
GPUApple M1 ProNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.6.2Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5:9b-mlx glm-4.7-flash:q4_K_M
Tokens/sec25.035.1
First chunk357 ms440 ms
TTFT357 ms440 ms
Load time3.8 s11.6 s
Memory usage8.4 GB18.4 GB
Memory %52%58%
HW Fit Score Breakdown
qwen3.5:9b-mlx
Speed
50/50
TTFT
20/20
Memory
24/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
Quality
qwen3.5:9b-mlx
Reasoning
16/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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