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qwen3.5-4b-mlx

LM-STUDIO MLX

qwen3_5 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

cogito:3b

OLLAMA GGUF

llama · 3.6B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
71 vs 67
Hardware Fit
88 vs 100
Quality Score
63 vs 53

Hardware

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

Performance

qwen3.5-4b-mlx cogito:3b
Tokens/sec23.145.6
First chunk3279 ms177 ms
TTFT3.3 s177 ms
Load timeN/A0.8 s
Memory usage2.9 GB7.0 GB
Memory %9%22%

HW Fit Score Breakdown

qwen3.5-4b-mlx

Speed
45/50
TTFT
13/20
Memory
30/30

cogito:3b

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

Quality

qwen3.5-4b-mlx

Reasoning
15/20
Coding
16/20
Instruction
6/20
Structured
6/15
Math
11/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Weak Structured Output: Weak Math: Adequate Multilingual: Strong

cogito:3b

Reasoning
6/20
Coding
8/20
Instruction
13/20
Structured
15/15
Math
2/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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