gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
qwen/qwen3-30b-a3b-2507
LM-STUDIO MLXqwen3_moe · 30B · 4bit
Mar 4, 2026 · Apple M4
Global Score
85 vs 94
Hardware Fit
95 vs 100
Quality Score
81 vs 91
Hardware
gemma4:e4b-mlx qwen/qwen3-30b-a3b…
MachineMacBook ProMacBook Air
CPUApple M2 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M2 ProApple M4
OSmacOS 26.5macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx qwen/qwen3-30b-a3b…
Tokens/sec47.344.8
First chunk258 ms405 ms
TTFT258 ms405 ms
Load time5.1 sN/A
Memory usage7.9 GB16.0 GB
Memory %49%50%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
25/30
qwen/qwen3-30b-a3b-2507
Speed
50/50
TTFT
20/20
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/qwen3-30b-a3b-2507
Reasoning
17/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
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