gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 19, 2026 · Apple M4 Max
Global Score
85 vs 80
Hardware Fit
95 vs 52
Quality Score
81 vs 92
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/sec47.316.1
First chunk258 ms14 ms
TTFT258 ms5.8 s
Load time5.1 s8.5 s
Memory usage7.9 GB0.0 GB
Memory %49%0%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
25/30
qwen/qwen3.8-27b
Speed
17/50
TTFT
5/20
Memory
30/30
Quality
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
qwen/qwen3.8-27b
Reasoning
19/20
Coding
16/20
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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest