llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Jun 26, 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
46 vs 81
Hardware Fit
61 vs 89
Quality Score
40 vs 77
Hardware
llama3.1:8b 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
llama3.1:8b glm-4.7-flash:q4_K_M
Tokens/sec7.835.1
First chunk1625 ms440 ms
TTFT1.6 s440 ms
Load time21.8 s11.6 s
Memory usage5.2 GB18.4 GB
Memory %71%58%
HW Fit Score Breakdown
llama3.1:8b
Speed
26/50
TTFT
20/20
Memory
15/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
Quality
llama3.1:8b
Reasoning
12/20
Coding
10/20
Instruction
4/20
Structured
1/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Weak 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