Back to leaderboard

hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 22, 2026 · Apple M1 Pro

qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Marginal

Aug 17, 2026 · Apple M5 Max

Global Score
65 vs 59
Hardware Fit
94 vs 63
Quality Score
52 vs 58

Hardware

hf.co/bartowski/ai… qwen3.8-27b-mlx
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M5 Max
Cores1018
RAM16 GB64 GB
GPUApple M1 ProApple M5 Max
OSmacOS 26.6.2macOS 27.0
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/bartowski/ai… qwen3.8-27b-mlx
Tokens/sec29.618.3
First chunk264 ms4 ms
TTFT264 ms530 ms
Load time3.8 sN/A
Memory usage8.4 GB38.5 GB
Memory %53%60%

HW Fit Score Breakdown

hf.co/bartowski/ai9star…

Speed
50/50
TTFT
20/20
Memory
24/30

qwen3.8-27b-mlx

Speed
23/50
TTFT
20/20
Memory
20/30

Quality

hf.co/bartowski/ai9star…

Reasoning
17/20
Coding
14/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

qwen3.8-27b-mlx

Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
View hf.co/bartowski/ai… details | View qwen3.8-27b-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