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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

Global Score
53 vs 78
Hardware Fit
89 vs 72
Quality Score
38 vs 81

Hardware

qwen3.5-0.8b-mlx gemma4:e4b-mlx
MachineMac miniMacBook Pro
CPUApple M4 ProApple M2 Pro
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M2 Pro
OSmacOS 15.7.4macOS 26.5
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b-mlx gemma4:e4b-mlx
Tokens/sec52.926.9
First chunk4013 ms222 ms
TTFT4.0 s222 ms
Load timeN/A0.1 s
Memory usage0.6 GB15.4 GB
Memory %1%96%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

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

gemma4:e4b-mlx

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

Quality

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

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
View qwen3.5-0.8b-mlx details | View gemma4:e4b-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