Back to leaderboard

qwen2.5-coder:0.5b

OLLAMA GGUF

qwen2 · 494.03M · Q4_K_M

Marginal

Nov 13, 2026 · Intel Core™ i5-4590T

zai-org/glm-4.7-flash

LM-STUDIO GGUF

deepseek2 · 30B · Q4_K_M

Excellent

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

Global Score
59 vs 82
Hardware Fit
100 vs 83
Quality Score
41 vs 81

Hardware

qwen2.5-coder:0.5b zai-org/glm-4.7-fl…
MachineFUJITSU ESPRIMO Q920GMKtec EVO-X3
CPUIntel Core™ i5-4590TAMD RYZEN AI MAX+ 395
Cores432
RAM16 GB120 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterAMD Radeon(TM) 8060S Graphics
OSMicrosoft Windows 10 Pro 10.0.19045Microsoft Windows 11 Pro 10.0.26300
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5-coder:0.5b zai-org/glm-4.7-fl…
Tokens/sec43.736.7
First chunk290 ms29 ms
TTFT290 ms131 ms
Load time1.4 s82.7 s
Memory usage0.9 GB47.4 GB
Memory %6%40%

HW Fit Score Breakdown

qwen2.5-coder:0.5b

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

zai-org/glm-4.7-flash

Speed
35/50
TTFT
20/20
Memory
28/30

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

zai-org/glm-4.7-flash

Reasoning
14/20
Coding
18/20
Instruction
14/20
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 zai-org/glm-4.7-fl… 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