Back to leaderboard

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 752.39M · Q8_0

Not Rec.

Oct 11, 2026 · AMD Ryzen 5 5500

hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
44 vs 76
Hardware Fit
80 vs 100
Quality Score
28 vs 66

Hardware

qwen3.5:0.8b hf.co/empero-ai/Qw…
MachineMicrosoft WSLMacBook Pro
CPUAMD Ryzen 5 5500Apple M1 Pro
Cores1210
RAM8 GB16 GB
GPUIntegrated / UnknownApple M1 Pro
OSUbuntu 26.04.1 LTSmacOS 26.6.2
Archx64arm64
Power Modeunknownbalanced

Performance

qwen3.5:0.8b hf.co/empero-ai/Qw…
Tokens/sec126.140.3
First chunk64 ms101 ms
TTFT30.0 s101 ms
Load time0.0 s2.7 s
Memory usage0.5 GB4.5 GB
Memory %7%28%

HW Fit Score Breakdown

qwen3.5:0.8b

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

hf.co/empero-ai/Qwen3.8…

Speed
50/50
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

hf.co/empero-ai/Qwen3.8…

Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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