glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
Global Score
81 vs 78
Hardware Fit
89 vs 72
Quality Score
77 vs 81
Hardware
glm-4.7-flash:q4_K_M gemma4:e4b-mlx
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M2 Pro
Cores2010
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M2 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.5
Archx64arm64
Power Modebalancedbalanced
Performance
glm-4.7-flash:q4_K_M gemma4:e4b-mlx
Tokens/sec35.126.9
First chunk440 ms222 ms
TTFT440 ms222 ms
Load time11.6 s0.1 s
Memory usage18.4 GB15.4 GB
Memory %58%96%
HW Fit Score Breakdown
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
2/30
Quality
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
gemma4:e4b-mlx
Reasoning
14/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong 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