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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

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
81 vs 81
Hardware Fit
89 vs 96
Quality Score
77 vs 75

Hardware

glm-4.7-flash:q4_K_M qwen3:8b
MachineASUSASUS
CPUIntel Core™ i5-14600KFIntel Core™ i5-14600KF
Cores2020
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERNVIDIA GeForce RTX 4070 Ti SUPER
OSMicrosoft Windows 11 Famille 10.0.26200Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

glm-4.7-flash:q4_K_M qwen3:8b
Tokens/sec35.1109.1
First chunk440 ms190 ms
TTFT440 ms190 ms
Load time11.6 s4.3 s
Memory usage18.4 GB5.6 GB
Memory %58%18%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
26/30

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

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View glm-4.7-flash:q4_K_M details | View qwen3:8b 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