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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

gemma3:270m

OLLAMA GGUF

gemma3 · 268.10M · Q8_0

Marginal

Mar 5, 2026 · Apple M3 Pro

Global Score
53 vs 50
Hardware Fit
89 vs 97
Quality Score
38 vs 30

Hardware

qwen3.5-0.8b-mlx gemma3:270m
MachineMac miniMacBook Pro
CPUApple M4 ProApple M3 Pro
Cores1412
RAM64 GB36 GB
GPUApple M4 ProApple M3 Pro
OSmacOS 15.7.4macOS 15.7.5
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b-mlx gemma3:270m
Tokens/sec52.9239.2
First chunk4013 ms127 ms
TTFT4.0 s127 ms
Load timeN/A0.7 s
Memory usage0.6 GB0.6 GB
Memory %1%2%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

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

gemma3:270m

Speed
50/50
TTFT
20/20
Memory
27/30

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

gemma3:270m

Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
View qwen3.5-0.8b-mlx details | View gemma3:270m 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