Back to leaderboard

qwen2.5-coder:0.5b

OLLAMA GGUF

qwen2 · 494.03M · Q4_K_M

Marginal

Nov 13, 2026 · Intel Core™ i5-4590T

gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
59 vs 85
Hardware Fit
100 vs 64
Quality Score
41 vs 94

Hardware

qwen2.5-coder:0.5b gemma-4-31b-it-mlx
MachineFUJITSU ESPRIMO Q920MacBook Pro
CPUIntel Core™ i5-4590TApple M4 Max
Cores416
RAM16 GB128 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterApple M4 Max
OSMicrosoft Windows 10 Pro 10.0.19045macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5-coder:0.5b gemma-4-31b-it-mlx
Tokens/sec43.713.6
First chunk290 ms16 ms
TTFT290 ms558 ms
Load time1.4 s12.3 s
Memory usage0.9 GB0.0 GB
Memory %6%0%

HW Fit Score Breakdown

qwen2.5-coder:0.5b

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

gemma-4-31b-it-mlx

Speed
14/50
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

gemma-4-31b-it-mlx

Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen2.5-coder:0.5b details | View gemma-4-31b-it-mlx 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