glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
qwen3:4b
OLLAMA GGUFqwen3 · 4.0B · Q4_K_M
Jun 26, 2026 · Cortex-A78AE
Global Score
81 vs 32
Hardware Fit
89 vs 98
Quality Score
77 vs 4
Hardware
glm-4.7-flash:q4_K_M qwen3:4b
MachineASUSNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUIntel Core™ i5-14600KFCortex-A78AE
Cores206
RAM32 GB7 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERIntegrated / Unknown
OSMicrosoft Windows 11 Famille 10.0.26200Ubuntu 22.04.5 LTS
Archx64arm64
Power Modebalancedbalanced
Performance
glm-4.7-flash:q4_K_M qwen3:4b
Tokens/sec35.117.9
First chunk440 ms950 ms
TTFT440 ms950 ms
Load time11.6 s9.7 s
Memory usage18.4 GB3.0 GB
Memory %58%40%
HW Fit Score Breakdown
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
qwen3:4b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
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
qwen3:4b
Reasoning
4/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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