Back to leaderboard

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Not Rec.

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
65 vs 83
Hardware Fit
73 vs 68
Quality Score
62 vs 90

Hardware

qwen3.5:4b qwen/qwen3.8-27b
MachineAZW GTR ProMacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M4 Max
Cores3216
RAM125 GB128 GB
GPUAMD Radeon 8060SApple M4 Max
OSUbuntu 24.04.4 LTSmacOS 26.5.2
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3.5:4b qwen/qwen3.8-27b
Tokens/sec45.727.6
First chunk180 ms10 ms
TTFT30.0 s4.6 s
Load time5.3 sN/A
Memory usage16.2 GB21.0 GB
Memory %13%16%

HW Fit Score Breakdown

qwen3.5:4b

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

qwen/qwen3.8-27b

Speed
32/50
TTFT
6/20
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

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.5:4b details | View qwen/qwen3.8-27b 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