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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

qwen3-vl:4b-instruct

OLLAMA GGUF

qwen3vl · 4.4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

Global Score
53 vs 83
Hardware Fit
89 vs 96
Quality Score
38 vs 78

Hardware

qwen3.5-0.8b-mlx qwen3-vl:4b-instruct
MachineMac miniMac Studio
CPUApple M4 ProApple M2 Max
Cores1412
RAM64 GB96 GB
GPUApple M4 ProApple M2 Max
OSmacOS 15.7.4macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b-mlx qwen3-vl:4b-instruct
Tokens/sec52.991.2
First chunk4013 ms150 ms
TTFT4.0 s150 ms
Load timeN/A5.3 s
Memory usage0.6 GB42.5 GB
Memory %1%44%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

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

qwen3-vl:4b-instruct

Speed
50/50
TTFT
20/20
Memory
26/30

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

qwen3-vl:4b-instruct

Reasoning
14/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5-0.8b-mlx details | View qwen3-vl:4b-instruct 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