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gemma4:e2b-mlx

OLLAMA GGUF
Not Rec.

Aug 26, 2026 · Apple M1 Pro

qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Marginal

Aug 17, 2026 · Apple M5 Max

Global Score
88 vs 59
Hardware Fit
79 vs 63
Quality Score
92 vs 58

Hardware

gemma4:e2b-mlx qwen3.8-27b-mlx
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M5 Max
Cores1018
RAM16 GB64 GB
GPUApple M1 ProApple M5 Max
OSmacOS 26.6.2macOS 27.0
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e2b-mlx qwen3.8-27b-mlx
Tokens/sec72.818.3
First chunk134 ms4 ms
TTFT30.0 s530 ms
Load time2.6 sN/A
Memory usage5.7 GB38.5 GB
Memory %36%60%

HW Fit Score Breakdown

gemma4:e2b-mlx

Speed
50/50
TTFT
0/20
Memory
29/30

qwen3.8-27b-mlx

Speed
23/50
TTFT
20/20
Memory
20/30

Quality

gemma4:e2b-mlx

Reasoning
19/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen3.8-27b-mlx

Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
View gemma4:e2b-mlx details | View qwen3.8-27b-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