Back to leaderboard

qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Good

Oct 20, 2026 · Apple M1 Pro

qwen3.5-9b

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Excellent

Mar 3, 2026 · Apple M4

Global Score
78 vs 81
Hardware Fit
56 vs 84
Quality Score
87 vs 79

Hardware

qwen3.8-27b-mlx qwen3.5-9b
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM32 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 15.6.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.8-27b-mlx qwen3.5-9b
Tokens/sec10.820.4
First chunk8 ms3034 ms
TTFT2.6 s3.0 s
Load timeN/AN/A
Memory usage21.0 GB5.6 GB
Memory %66%17%

HW Fit Score Breakdown

qwen3.8-27b-mlx

Speed
23/50
TTFT
16/20
Memory
17/30

qwen3.5-9b

Speed
41/50
TTFT
14/20
Memory
29/30

Quality

qwen3.8-27b-mlx

Reasoning
18/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.5-9b

Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong 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