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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:2b

OLLAMA GGUF

qwen3vl · 2.1B · Q4_K_M

Good

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
53 vs 62
Hardware Fit
89 vs 99
Quality Score
38 vs 46

Hardware

qwen3.5-0.8b-mlx qwen3-vl:2b
MachineMac miniAZW GTR Pro
CPUApple M4 ProAMD RYZEN AI MAX+ 395
Cores1432
RAM64 GB125 GB
GPUApple M4 ProAMD Radeon 8060S
OSmacOS 15.7.4Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen3.5-0.8b-mlx qwen3-vl:2b
Tokens/sec52.9127.4
First chunk4013 ms101 ms
TTFT4.0 s630 ms
Load timeN/A5.9 s
Memory usage0.6 GB33.2 GB
Memory %1%27%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

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

qwen3-vl:2b

Speed
50/50
TTFT
19/20
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

qwen3-vl:2b

Reasoning
7/20
Coding
0/20
Instruction
11/20
Structured
7/15
Math
13/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong
View qwen3.5-0.8b-mlx details | View qwen3-vl:2b 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