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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 8bit

Good

Mar 3, 2026 · Apple M4

gemma2:2b

OLLAMA GGUF

gemma2 · 2.6B · Q4_0

Good

Mar 2, 2026 · Apple M4

Global Score
60 vs 77
Hardware Fit
96 vs 100
Quality Score
44 vs 67

Hardware

qwen3.5-0.8b-mlx gemma2:2b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b-mlx gemma2:2b
Tokens/sec108.055.1
First chunk2568 msN/A
TTFT2.6 s152 ms
Load timeN/A0.6 s
Memory usage1.0 GB2.8 GB
Memory %3%9%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
16/20
Memory
30/30

gemma2:2b

Speed
40/50
TTFT
30/20
Memory
30/30

Quality

qwen3.5-0.8b-mlx

Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

gemma2:2b

Reasoning
11/20
Coding
13/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate 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