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gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
78 vs 83
Hardware Fit
72 vs 68
Quality Score
81 vs 90

Hardware

gemma4:e4b-mlx qwen/qwen3.8-27b
MachineMacBook ProMacBook Pro
CPUApple M2 ProApple M4 Max
Cores1016
RAM16 GB128 GB
GPUApple M2 ProApple M4 Max
OSmacOS 26.5macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx qwen/qwen3.8-27b
Tokens/sec26.927.6
First chunk222 ms10 ms
TTFT222 ms4.6 s
Load time0.1 sN/A
Memory usage15.4 GB21.0 GB
Memory %96%16%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
2/30

qwen/qwen3.8-27b

Speed
32/50
TTFT
6/20
Memory
30/30

Quality

gemma4:e4b-mlx

Reasoning
14/20
Coding
19/20
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

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma4:e4b-mlx details | View qwen/qwen3.8-27b 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