Back to leaderboard

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 752.39M · Q8_0

Not Rec.

Oct 11, 2026 · AMD Ryzen 5 5500

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 18, 2026 · Apple M4 Max

Global Score
44 vs 87
Hardware Fit
80 vs 83
Quality Score
28 vs 88

Hardware

qwen3.5:0.8b qwen/qwen3.8-27b
MachineMicrosoft WSLMacBook Pro
CPUAMD Ryzen 5 5500Apple M4 Max
Cores1216
RAM8 GB128 GB
GPUIntegrated / UnknownApple M4 Max
OSUbuntu 26.04.1 LTSmacOS 26.5.2
Archx64arm64
Power Modeunknownbalanced

Performance

qwen3.5:0.8b qwen/qwen3.8-27b
Tokens/sec126.129.1
First chunk64 ms9 ms
TTFT30.0 s650 ms
Load time0.0 sN/A
Memory usage0.5 GB21.0 GB
Memory %7%16%

HW Fit Score Breakdown

qwen3.5:0.8b

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

qwen/qwen3.8-27b

Speed
33/50
TTFT
20/20
Memory
30/30

Quality

qwen3.5:0.8b

Reasoning
9/20
Coding
0/20
Instruction
7/20
Structured
1/15
Math
6/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Weak Multilingual: Adequate

qwen/qwen3.8-27b

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5:0.8b 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