Back to leaderboard

qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Marginal

Aug 17, 2026 · Apple M5 Max

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 5, 2026 · Apple M1 Max

Global Score
59 vs 85
Hardware Fit
63 vs 95
Quality Score
58 vs 80

Hardware

qwen3.8-27b-mlx qwen3.5:9b
MachineMacBook ProMacBook Pro
CPUApple M5 MaxApple M1 Max
Cores1810
RAM64 GB32 GB
GPUApple M5 MaxApple M1 Max
OSmacOS 27.0macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.8-27b-mlx qwen3.5:9b
Tokens/sec18.323.1
First chunk4 ms358 ms
TTFT530 ms358 ms
Load timeN/A3.6 s
Memory usage38.5 GB9.1 GB
Memory %60%28%

HW Fit Score Breakdown

qwen3.8-27b-mlx

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

qwen3.5:9b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

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

qwen3.5:9b

Reasoning
14/20
Coding
16/20
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