qwen3.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Oct 31, 2026 · Intel Gen Intel® Core™ i9-12900H
qwen/qwen3.6-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 22, 2026 · Apple M1 Pro
Global Score
85 vs 80
Hardware Fit
100 vs 56
Quality Score
79 vs 90
Hardware
qwen3.5:9b qwen/qwen3.6-27b
MachineMicro-Star International Co., Ltd. Stealth GS77 12UHMacBook Pro
CPUIntel Gen Intel® Core™ i9-12900HApple M1 Pro
Cores2010
RAM32 GB32 GB
GPUIntel(R) Iris(R) Xe Graphics, NVIDIA GeForce RTX 3080 Laptop GPUApple M1 Pro
OSMicrosoft Windows 11 Home 10.0.26200macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b qwen/qwen3.6-27b
Tokens/sec41.410.8
First chunk162 ms16 ms
TTFT162 ms2.6 s
Load time8.1 sN/A
Memory usage5.9 GB21.0 GB
Memory %19%66%
HW Fit Score Breakdown
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen/qwen3.6-27b
Speed
23/50
TTFT
16/20
Memory
17/30
Quality
qwen3.5:9b
Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
qwen/qwen3.6-27b
Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest