Back to leaderboard

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 752.39M · Q8_0

Not Rec.

Oct 11, 2026 · AMD Ryzen 5 5500

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
44 vs 77
Hardware Fit
80 vs 100
Quality Score
28 vs 67

Hardware

qwen3.5:0.8b mlx-community/meta…
MachineMicrosoft WSLMac mini
CPUAMD Ryzen 5 5500Apple M4 Pro
Cores1214
RAM8 GB64 GB
GPUIntegrated / UnknownApple M4 Pro
OSUbuntu 26.04.1 LTSmacOS 15.7.4
Archx64arm64
Power Modeunknownbalanced

Performance

qwen3.5:0.8b mlx-community/meta…
Tokens/sec126.154.3
First chunk64 ms277 ms
TTFT30.0 s277 ms
Load time0.0 sN/A
Memory usage0.5 GB4.2 GB
Memory %7%7%

HW Fit Score Breakdown

qwen3.5:0.8b

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

mlx-community/meta-llam…

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

mlx-community/meta-llam…

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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