llama3.2:1b
OLLAMA GGUFllama · 1.2B · Q8_0
Jun 26, 2026 · Cortex-A78AE
glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
Global Score
63 vs 65
Hardware Fit
100 vs 88
Quality Score
47 vs 55
Hardware
llama3.2:1b glm-4.6v-flash
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperMac Studio
CPUCortex-A78AEApple M2 Max
Cores612
RAM7 GB96 GB
GPUIntegrated / UnknownApple M2 Max
OSUbuntu 22.04.5 LTSmacOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
llama3.2:1b glm-4.6v-flash
Tokens/sec40.249.9
First chunk1087 ms27 ms
TTFT1.1 s3.7 s
Load time6.2 s2.7 s
Memory usage1.4 GB0.0 GB
Memory %19%0%
HW Fit Score Breakdown
llama3.2:1b
Speed
50/50
TTFT
20/20
Memory
30/30
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
llama3.2:1b
Reasoning
4/20
Coding
9/20
Instruction
14/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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