Back to leaderboard

qwen2.5-coder:0.5b

OLLAMA GGUF

qwen2 · 494.03M · Q4_K_M

Marginal

Nov 13, 2026 · Intel Core™ i5-4590T

gemma4:e4b-it-q8_0

OLLAMA GGUF

gemma4 · 8.0B · Q8_0

Excellent

Aug 25, 2026 · Apple M1 Pro

Global Score
59 vs 88
Hardware Fit
100 vs 100
Quality Score
41 vs 83

Hardware

qwen2.5-coder:0.5b gemma4:e4b-it-q8_0
MachineFUJITSU ESPRIMO Q920MacBook Pro
CPUIntel Core™ i5-4590TApple M1 Pro
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterApple M1 Pro
OSMicrosoft Windows 10 Pro 10.0.19045macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5-coder:0.5b gemma4:e4b-it-q8_0
Tokens/sec43.727.8
First chunk290 ms204 ms
TTFT290 ms204 ms
Load time1.4 s6.6 s
Memory usage0.9 GB5.0 GB
Memory %6%31%

HW Fit Score Breakdown

qwen2.5-coder:0.5b

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

gemma4:e4b-it-q8_0

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

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

gemma4:e4b-it-q8_0

Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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