Back to leaderboard

qwen3.5-2b-mlx

LM-STUDIO MLX

qwen3_5 · 2B · 8bit

Good

Mar 3, 2026 · Apple M4

google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
70 vs 76
Hardware Fit
93 vs 100
Quality Score
60 vs 66

Hardware

qwen3.5-2b-mlx google/gemma-3-4b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-2b-mlx google/gemma-3-4b
Tokens/sec32.939.4
First chunk3096 ms468 ms
TTFT3.1 s468 ms
Load timeN/AN/A
Memory usage2.5 GB2.8 GB
Memory %8%9%

HW Fit Score Breakdown

qwen3.5-2b-mlx

Speed
50/50
TTFT
13/20
Memory
30/30

google/gemma-3-4b

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

Quality

qwen3.5-2b-mlx

Reasoning
11/20
Coding
9/20
Instruction
14/20
Structured
14/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

google/gemma-3-4b

Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.5-2b-mlx details | View google/gemma-3-4b 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