Back to leaderboard

qwen2.5-coder:0.5b

OLLAMA GGUF

qwen2 · 494.03M · Q4_K_M

Marginal

Nov 13, 2026 · Intel Core™ i5-4590T

unsloth-phi-4

LM-STUDIO MLX

llama · 4bit

Excellent

Mar 6, 2026 · Apple M4 Pro

Global Score
59 vs 82
Hardware Fit
100 vs 88
Quality Score
41 vs 80

Hardware

qwen2.5-coder:0.5b unsloth-phi-4
MachineFUJITSU ESPRIMO Q920Mac mini
CPUIntel Core™ i5-4590TApple M4 Pro
Cores414
RAM16 GB64 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterApple M4 Pro
OSMicrosoft Windows 10 Pro 10.0.19045macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5-coder:0.5b unsloth-phi-4
Tokens/sec43.727.4
First chunk290 ms457 ms
TTFT290 ms457 ms
Load time1.4 sN/A
Memory usage0.9 GB7.7 GB
Memory %6%12%

HW Fit Score Breakdown

qwen2.5-coder:0.5b

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

unsloth-phi-4

Speed
38/50
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

unsloth-phi-4

Reasoning
15/20
Coding
19/20
Instruction
14/20
Structured
13/15
Math
9/15
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 unsloth-phi-4 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