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qwen2.5-coder:0.5b

OLLAMA GGUF

qwen2 · 494.03M · Q4_K_M

Marginal

Nov 13, 2026 · Intel Core™ i5-4590T

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
59 vs 81
Hardware Fit
100 vs 89
Quality Score
41 vs 77

Hardware

qwen2.5-coder:0.5b glm-4.7-flash:q4_K_M
MachineFUJITSU ESPRIMO Q920ASUS
CPUIntel Core™ i5-4590TIntel Core™ i5-14600KF
Cores420
RAM16 GB32 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterNVIDIA GeForce RTX 4070 Ti SUPER
OSMicrosoft Windows 10 Pro 10.0.19045Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5-coder:0.5b glm-4.7-flash:q4_K_M
Tokens/sec43.735.1
First chunk290 ms440 ms
TTFT290 ms440 ms
Load time1.4 s11.6 s
Memory usage0.9 GB18.4 GB
Memory %6%58%

HW Fit Score Breakdown

qwen2.5-coder:0.5b

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

glm-4.7-flash:q4_K_M

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

Quality

qwen2.5-coder:0.5b

Reasoning
7/20
Coding
8/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
4/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

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 qwen2.5-coder:0.5b 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