glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
parable-qwen3-4b-claude-fable-5
LM-STUDIO GGUFqwen3 · 4B · Q4_K_M
Oct 24, 2026 · Intel Core™ i3-9100F
Global Score
81 vs 67
Hardware Fit
89 vs 66
Quality Score
77 vs 67
Hardware
glm-4.7-flash:q4_K_M parable-qwen3-4b-c…
MachineASUSGigabyte Technology Co., Ltd. H310M S2 2.0
CPUIntel Core™ i5-14600KFIntel Core™ i3-9100F
Cores204
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERVirtual Desktop Monitor, NVIDIA GeForce GTX 1650
OSMicrosoft Windows 11 Famille 10.0.26200Майкрософт Windows 10 Pro 10.0.19045
Archx64x64
Power Modebalancedbalanced
Performance
glm-4.7-flash:q4_K_M parable-qwen3-4b-c…
Tokens/sec35.14.3
First chunk440 ms13 ms
TTFT440 ms1.9 s
Load time11.6 sN/A
Memory usage18.4 GB3.0 GB
Memory %58%19%
HW Fit Score Breakdown
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
parable-qwen3-4b-claude…
Speed
16/50
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
parable-qwen3-4b-claude…
Reasoning
12/20
Coding
12/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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