qwen2.5-coder:0.5b
OLLAMA GGUFqwen2 · 494.03M · Q4_K_M
Nov 13, 2026 · Intel Core™ i5-4590T
glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
Global Score
59 vs 76
Hardware Fit
100 vs 73
Quality Score
41 vs 77
Hardware
qwen2.5-coder:0.5b glm-4.7-flash:bf16
MachineFUJITSU ESPRIMO Q920NVIDIA NVIDIA_DGX_Spark
CPUIntel Core™ i5-4590TCortex-X925
Cores420
RAM16 GB122 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterDevice 2e12
OSMicrosoft Windows 10 Pro 10.0.19045Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance
Performance
qwen2.5-coder:0.5b glm-4.7-flash:bf16
Tokens/sec43.725.8
First chunk290 ms605 ms
TTFT290 ms605 ms
Load time1.4 s44.2 s
Memory usage0.9 GB57.0 GB
Memory %6%47%
HW Fit Score Breakdown
qwen2.5-coder:0.5b
Speed
50/50
TTFT
20/20
Memory
30/30
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
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:bf16
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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest