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gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
78 vs 81
Hardware Fit
72 vs 89
Quality Score
81 vs 77

Hardware

gemma4:e4b-mlx glm-4.7-flash:q4_K_M
MachineMacBook ProASUS
CPUApple M2 ProIntel Core™ i5-14600KF
Cores1020
RAM16 GB32 GB
GPUApple M2 ProNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.5Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx glm-4.7-flash:q4_K_M
Tokens/sec26.935.1
First chunk222 ms440 ms
TTFT222 ms440 ms
Load time0.1 s11.6 s
Memory usage15.4 GB18.4 GB
Memory %96%58%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
2/30

glm-4.7-flash:q4_K_M

Speed
49/50
TTFT
20/20
Memory
20/30

Quality

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

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
View gemma4:e4b-mlx details | View glm-4.7-flash:q4_K_M details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest