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llama3.2:3b

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Jun 25, 2026 · Cortex-A78AE

glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest