Back to leaderboard

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Not Rec.

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

Global Score
65 vs 53
Hardware Fit
73 vs 89
Quality Score
62 vs 38

Hardware

qwen3.5:4b qwen3.5-0.8b-mlx
MachineAZW GTR ProMac mini
CPUAMD RYZEN AI MAX+ 395Apple M4 Pro
Cores3214
RAM125 GB64 GB
GPUAMD Radeon 8060SApple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 15.7.4
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3.5:4b qwen3.5-0.8b-mlx
Tokens/sec45.752.9
First chunk180 ms4013 ms
TTFT30.0 s4.0 s
Load time5.3 sN/A
Memory usage16.2 GB0.6 GB
Memory %13%1%

HW Fit Score Breakdown

qwen3.5:4b

Speed
43/50
TTFT
0/20
Memory
30/30

qwen3.5-0.8b-mlx

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

Quality

qwen3.5:4b

Reasoning
17/20
Coding
1/20
Instruction
13/20
Structured
8/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong

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
View qwen3.5:4b details | View qwen3.5-0.8b-mlx 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