Back to leaderboard

gemma-3-270m-it-qat-mlx

LM-STUDIO MLX

gemma3_text · 270M · 4bit

Marginal

Mar 4, 2026 · Apple M4

gemma4:e4b-it-q8_0

OLLAMA GGUF

gemma4 · 8.0B · Q8_0

Excellent

Aug 26, 2026 · Apple M1 Pro

Global Score
43 vs 91
Hardware Fit
99 vs 88
Quality Score
19 vs 92

Hardware

gemma-3-270m-it-qa… gemma4:e4b-it-q8_0
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma-3-270m-it-qa… gemma4:e4b-it-q8_0
Tokens/sec344.230.0
First chunk173 ms311 ms
TTFT173 ms6.2 s
Load timeN/A6.9 s
Memory usage0.3 GB5.0 GB
Memory %1%31%

HW Fit Score Breakdown

gemma-3-270m-it-qat-mlx

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

gemma4:e4b-it-q8_0

Speed
50/50
TTFT
8/20
Memory
30/30

Quality

gemma-3-270m-it-qat-mlx

Reasoning
4/20
Coding
0/20
Instruction
9/20
Structured
3/15
Math
1/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

gemma4:e4b-it-q8_0

Reasoning
18/20
Coding
19/20
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

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