glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
microllm-250m:latest
OLLAMA GGUFllama · 256.74M · F16
Jul 5, 2026 · Apple M4 Pro
Global Score
81 vs 34
Hardware Fit
89 vs 100
Quality Score
77 vs 6
Hardware
glm-4.7-flash:q4_K_M microllm-250m:latest
MachineASUSMac mini
CPUIntel Core™ i5-14600KFApple M4 Pro
Cores2012
RAM32 GB24 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced
Performance
glm-4.7-flash:q4_K_M microllm-250m:latest
Tokens/sec35.1291.6
First chunk440 ms50 ms
TTFT440 ms79 ms
Load time11.6 s0.0 s
Memory usage18.4 GB0.6 GB
Memory %58%2%
HW Fit Score Breakdown
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
microllm-250m:latest
Speed
50/50
TTFT
20/20
Memory
30/30
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
microllm-250m:latest
Reasoning
1/20
Coding
0/20
Instruction
5/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Weak 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