gemma4:e4b-it-q8_0
OLLAMA GGUFgemma4 · 8.0B · Q8_0
Aug 26, 2026 · Apple M1 Pro
glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
Global Score
91 vs 65
Hardware Fit
88 vs 88
Quality Score
92 vs 55
Hardware
gemma4:e4b-it-q8_0 glm-4.6v-flash
MachineMacBook ProMac Studio
CPUApple M1 ProApple M2 Max
Cores1012
RAM16 GB96 GB
GPUApple M1 ProApple M2 Max
OSmacOS 26.6.2macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-it-q8_0 glm-4.6v-flash
Tokens/sec30.049.9
First chunk311 ms27 ms
TTFT6.2 s3.7 s
Load time6.9 s2.7 s
Memory usage5.0 GB0.0 GB
Memory %31%0%
HW Fit Score Breakdown
gemma4:e4b-it-q8_0
Speed
50/50
TTFT
8/20
Memory
30/30
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
gemma4:e4b-it-q8_0
Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
glm-4.6v-flash
Reasoning
0/20
Coding
16/20
Instruction
12/20
Structured
2/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Strong Instruction Following: Adequate Structured Output: Poor Math: Strong 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