llama3.2:3b
OLLAMA GGUFllama · 3.2B · Q4_K_M
Jun 25, 2026 · Cortex-A78AE
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
74 vs 81
Hardware Fit
99 vs 89
Quality Score
63 vs 77
Hardware
llama3.2:3b glm-4.7-flash:q4_K_M
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperASUS
CPUCortex-A78AEIntel Core™ i5-14600KF
Cores620
RAM7 GB32 GB
GPUIntegrated / UnknownNVIDIA GeForce RTX 4070 Ti SUPER
OSUbuntu 22.04.5 LTSMicrosoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
llama3.2:3b glm-4.7-flash:q4_K_M
Tokens/sec21.135.1
First chunk1032 ms440 ms
TTFT1.0 s440 ms
Load time8.4 s11.6 s
Memory usage2.4 GB18.4 GB
Memory %32%58%
HW Fit Score Breakdown
llama3.2:3b
Speed
50/50
TTFT
20/20
Memory
29/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
Quality
llama3.2:3b
Reasoning
10/20
Coding
14/20
Instruction
15/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor 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
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