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glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
81 vs 85
Hardware Fit
89 vs 64
Quality Score
77 vs 94

Hardware

glm-4.7-flash:q4_K_M gemma-4-31b-it-mlx
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M4 Max
Cores2016
RAM32 GB128 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4 Max
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

glm-4.7-flash:q4_K_M gemma-4-31b-it-mlx
Tokens/sec35.113.6
First chunk440 ms16 ms
TTFT440 ms558 ms
Load time11.6 s12.3 s
Memory usage18.4 GB0.0 GB
Memory %58%0%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

gemma-4-31b-it-mlx

Speed
14/50
TTFT
20/20
Memory
30/30

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

gemma-4-31b-it-mlx

Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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