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qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 18, 2026 · Apple M4 Max

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
87 vs 85
Hardware Fit
83 vs 96
Quality Score
88 vs 80

Hardware

qwen/qwen3.8-27b qwen3.5:9b
MachineMacBook ProASUS
CPUApple M4 MaxIntel Core™ i5-14600KF
Cores1620
RAM128 GB32 GB
GPUApple M4 MaxNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.5.2Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen/qwen3.8-27b qwen3.5:9b
Tokens/sec29.188.6
First chunk9 ms306 ms
TTFT650 ms306 ms
Load timeN/A7.0 s
Memory usage21.0 GB8.1 GB
Memory %16%25%

HW Fit Score Breakdown

qwen/qwen3.8-27b

Speed
33/50
TTFT
20/20
Memory
30/30

qwen3.5:9b

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

Quality

qwen/qwen3.8-27b

Reasoning
18/20
Coding
18/20
Instruction
16/20
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
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
View qwen/qwen3.8-27b details | View qwen3.5:9b 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