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glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

Global Score
81 vs 90
Hardware Fit
89 vs 97
Quality Score
77 vs 87

Hardware

glm-4.7-flash:q4_K_M Qwen3.8-27B-UD-Q3_…
MachineASUS—
CPUIntel Core™ i5-14600KFIntel Gen Intel® Core™ i5-12600K
Cores2016
RAM32 GB31 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSMicrosoft Windows 11 Famille 10.0.26200Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

glm-4.7-flash:q4_K_M Qwen3.8-27B-UD-Q3_…
Tokens/sec35.139.0
First chunk440 ms305 ms
TTFT440 ms305 ms
Load time11.6 s0.0 s
Memory usage18.4 GB12.5 GB
Memory %58%41%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

Speed
49/50
TTFT
20/20
Memory
20/30

Qwen3.8-27B-UD-Q3_K_XL

Speed
50/50
TTFT
20/20
Memory
27/30

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

Qwen3.8-27B-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View glm-4.7-flash:q4_K_M details | View Qwen3.8-27B-UD-Q3_… details

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