Back to leaderboard

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4 Pro

gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

Global Score
72 vs 85
Hardware Fit
89 vs 95
Quality Score
65 vs 81

Hardware

qwen3.5-9b gemma4:e4b-mlx
MachineMac miniMacBook Pro
CPUApple M4 ProApple M2 Pro
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M2 Pro
OSmacOS 15.7.4macOS 26.5
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-9b gemma4:e4b-mlx
Tokens/sec28.947.3
First chunk338 ms258 ms
TTFT338 ms258 ms
Load timeN/A5.1 s
Memory usage6.1 GB7.9 GB
Memory %10%49%

HW Fit Score Breakdown

qwen3.5-9b

Speed
39/50
TTFT
20/20
Memory
30/30

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
25/30

Quality

qwen3.5-9b

Reasoning
17/20
Coding
15/20
Instruction
6/20
Structured
7/15
Math
12/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Strong

gemma4:e4b-mlx

Reasoning
15/20
Coding
18/20
Instruction
15/20
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