qwen3.5:9b-q8_0
OLLAMA GGUFqwen35 · 9.7B · Q8_0
Sep 15, 2026 · Intel Core™ i5-14400F
qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 19, 2026 · Apple M4 Max
Global Score
86 vs 80
Hardware Fit
100 vs 52
Quality Score
80 vs 92
Hardware
qwen3.5:9b-q8_0 qwen/qwen3.8-27b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M4 Max
Cores1616
RAM32 GB128 GB
GPUNVIDIA GeForce RTX 5060 TiApple M4 Max
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b-q8_0 qwen/qwen3.8-27b
Tokens/sec37.716.1
First chunk120 ms14 ms
TTFT120 ms5.8 s
Load time8.3 s8.5 s
Memory usage8.4 GB0.0 GB
Memory %26%0%
HW Fit Score Breakdown
qwen3.5:9b-q8_0
Speed
50/50
TTFT
20/20
Memory
30/30
qwen/qwen3.8-27b
Speed
17/50
TTFT
5/20
Memory
30/30
Quality
qwen3.5:9b-q8_0
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
qwen/qwen3.8-27b
Reasoning
19/20
Coding
16/20
Instruction
17/20
Structured
15/15
Math
15/15
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