Back to leaderboard

gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M1 Max

Global Score
90 vs 53
Hardware Fit
78 vs 72
Quality Score
95 vs 45

Hardware

gemma4:e4b-mlx qwen3.5:9b
MachineMacBook ProMacBook Pro
CPUApple M2 ProApple M1 Max
Cores1010
RAM16 GB32 GB
GPUApple M2 ProApple M1 Max
OSmacOS 26.5macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx qwen3.5:9b
Tokens/sec46.118.6
First chunk284 ms403 ms
TTFT3.9 s10.2 s
Load time0.1 s4.3 s
Memory usage10.8 GB9.1 GB
Memory %68%28%

HW Fit Score Breakdown

gemma4:e4b-mlx

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

qwen3.5:9b

Speed
38/50
TTFT
4/20
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

qwen3.5:9b

Reasoning
12/20
Coding
3/20
Instruction
5/20
Structured
6/15
Math
11/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Adequate Multilingual: Strong
View gemma4:e4b-mlx details | View qwen3.5:9b 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