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qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
40 vs 81
Hardware Fit
89 vs 89
Quality Score
19 vs 77

Hardware

qwen3-0.6b glm-4.7-flash:q4_K_M
MachineLENOVO 20BUS00700ASUS
CPUIntel Core™ i5-5300UIntel Core™ i5-14600KF
Cores420
RAM16 GB32 GB
GPUIntel(R) HD Graphics 5500NVIDIA GeForce RTX 4070 Ti SUPER
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

qwen3-0.6b glm-4.7-flash:q4_K_M
Tokens/sec14.435.1
First chunk854 ms440 ms
TTFT854 ms440 ms
Load timeN/A11.6 s
Memory usage0.5 GB18.4 GB
Memory %3%58%

HW Fit Score Breakdown

qwen3-0.6b

Speed
43/50
TTFT
20/20
Memory
26/30

glm-4.7-flash:q4_K_M

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

Quality

qwen3-0.6b

Reasoning
5/20
Coding
1/20
Instruction
3/20
Structured
4/15
Math
0/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Poor Multilingual: Adequate

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
View qwen3-0.6b details | View glm-4.7-flash:q4_K_M 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