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qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Mar 2, 2026 · Apple M4

Global Score
83 vs 84
Hardware Fit
68 vs 95
Quality Score
90 vs 79

Hardware

qwen/qwen3.8-27b qwen2.5:7b
MachineMacBook ProMacBook Air
CPUApple M4 MaxApple M4
Cores1610
RAM128 GB32 GB
GPUApple M4 MaxApple M4
OSmacOS 26.5.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen/qwen3.8-27b qwen2.5:7b
Tokens/sec27.622.2
First chunk10 msN/A
TTFT4.6 s285 ms
Load timeN/A0.8 s
Memory usage21.0 GB7.6 GB
Memory %16%24%

HW Fit Score Breakdown

qwen/qwen3.8-27b

Speed
32/50
TTFT
6/20
Memory
30/30

qwen2.5:7b

Speed
35/50
TTFT
30/20
Memory
30/30

Quality

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen2.5:7b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
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