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smollm2:360m

OLLAMA GGUF

llama · 361.82M · F16

Marginal

Mar 2, 2026 · Apple M4

gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

Global Score
52 vs 78
Hardware Fit
100 vs 72
Quality Score
32 vs 81

Hardware

smollm2:360m gemma4:e4b-mlx
MachineMacBook AirMacBook Pro
CPUApple M4Apple M2 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M2 Pro
OSmacOS 26.3macOS 26.5
Archarm64arm64
Power Modebalancedbalanced

Performance

smollm2:360m gemma4:e4b-mlx
Tokens/sec117.926.9
First chunkN/A222 ms
TTFT43 ms222 ms
Load time0.4 s0.1 s
Memory usage1.2 GB15.4 GB
Memory %4%96%

HW Fit Score Breakdown

smollm2:360m

Speed
40/50
TTFT
30/20
Memory
30/30

gemma4:e4b-mlx

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

Quality

smollm2:360m

Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
9/15
Math
4/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

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

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