Back to leaderboard

gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
90 vs 89
Hardware Fit
78 vs 95
Quality Score
95 vs 87

Hardware

gemma4:e4b-mlx qwen/qwen3-8b
MachineMacBook ProMac mini
CPUApple M2 ProApple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M2 ProApple M4 Pro
OSmacOS 26.5macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx qwen/qwen3-8b
Tokens/sec46.133.4
First chunk284 ms257 ms
TTFT3.9 s257 ms
Load time0.1 sN/A
Memory usage10.8 GB4.3 GB
Memory %68%7%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
12/20
Memory
16/30

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

gemma4:e4b-mlx

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

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma4:e4b-mlx details | View qwen/qwen3-8b 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