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qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Good

Oct 20, 2026 · Apple M1 Pro

ornith-1.5:9b

OLLAMA GGUF

qwen35 · 9.0B · Q4_K_M

Good

Aug 24, 2026 · Apple M1 Pro

Global Score
78 vs 69
Hardware Fit
56 vs 95
Quality Score
87 vs 58

Hardware

qwen3.8-27b-mlx ornith-1.5:9b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 15.6.1macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.8-27b-mlx ornith-1.5:9b
Tokens/sec10.822.2
First chunk8 ms341 ms
TTFT2.6 s341 ms
Load timeN/A4.8 s
Memory usage21.0 GB7.1 GB
Memory %66%45%

HW Fit Score Breakdown

qwen3.8-27b-mlx

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

ornith-1.5:9b

Speed
49/50
TTFT
20/20
Memory
26/30

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

ornith-1.5:9b

Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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