qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

llama3.2:3b

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score

53 vs 67

Hardware Fit

89 vs 77

Quality Score

38 vs 63

Hardware

qwen3.5-0.8b-mlx llama3.2:3b

MachineMac miniLENOVO 20U30029MB

CPUApple M4 ProIntel Core™ i5-10210U

Cores148

RAM64 GB15 GB

GPUApple M4 ProCometLake-U GT2 [UHD Graphics]

OSmacOS 15.7.4Pop 24.04 LTS

Archarm64x64

Power Modebalancedlow-power

Performance

qwen3.5-0.8b-mlx llama3.2:3b

Tokens/sec52.910.0

First chunk4013 ms1166 ms

TTFT4.0 s1.2 s

Load timeN/A6.8 s

Memory usage0.6 GB3.8 GB

Memory %1%25%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

Speed

50/50

TTFT

9/20

Memory

30/30

llama3.2:3b

Speed

27/50

TTFT

20/20

Memory

30/30

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

llama3.2:3b

Reasoning

11/20

Coding

15/20

Instruction

13/20

Structured

12/15

Math

3/15

Multilingual

9/10

Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

View qwen3.5-0.8b-mlx details | View llama3.2:3b 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