ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
Global Score
79 vs 65
Hardware Fit
98 vs 88
Quality Score
71 vs 55
Hardware
ministral-3:8b glm-4.6v-flash
MachineMac miniMac Studio
CPUApple M4 ProApple M2 Max
Cores1212
RAM24 GB96 GB
GPUApple M4 ProApple M2 Max
OSmacOS 15.6.1macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
ministral-3:8b glm-4.6v-flash
Tokens/sec41.449.9
First chunk257 ms27 ms
TTFT257 ms3.7 s
Load time5.2 s2.7 s
Memory usage9.0 GB0.0 GB
Memory %38%0%
HW Fit Score Breakdown
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
ministral-3:8b
Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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