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qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M4

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

Global Score
48 vs 53
Hardware Fit
77 vs 89
Quality Score
35 vs 38

Hardware

qwen3.5:4b qwen3.5-0.8b-mlx
MachineMac miniMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:4b qwen3.5-0.8b-mlx
Tokens/sec18.952.9
First chunk316 ms4013 ms
TTFT13.0 s4.0 s
Load time3.7 sN/A
Memory usage5.9 GB0.6 GB
Memory %37%1%

HW Fit Score Breakdown

qwen3.5:4b

Speed
43/50
TTFT
4/20
Memory
30/30

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
9/20
Memory
30/30

Quality

qwen3.5:4b

Reasoning
10/20
Coding
1/20
Instruction
4/20
Structured
3/15
Math
8/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Adequate Multilingual: Strong

qwen3.5-0.8b-mlx

Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
View qwen3.5:4b details | View qwen3.5-0.8b-mlx 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