qwen3.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Oct 31, 2026 · Intel Gen Intel® Core™ i9-12900H
llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Aug 25, 2026 · Apple M1 Pro
Global Score
85 vs 72
Hardware Fit
100 vs 77
Quality Score
79 vs 70
Hardware
qwen3.5:9b llama3.1:8b
MachineMicro-Star International Co., Ltd. Stealth GS77 12UHMacBook Pro
CPUIntel Gen Intel® Core™ i9-12900HApple M1 Pro
Cores2010
RAM32 GB16 GB
GPUIntel(R) Iris(R) Xe Graphics, NVIDIA GeForce RTX 3080 Laptop GPUApple M1 Pro
OSMicrosoft Windows 11 Home 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b llama3.1:8b
Tokens/sec41.421.5
First chunk162 ms368 ms
TTFT162 ms368 ms
Load time8.1 s6.9 s
Memory usage5.9 GB12.9 GB
Memory %19%81%
HW Fit Score Breakdown
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
30/30
llama3.1:8b
Speed
47/50
TTFT
20/20
Memory
10/30
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
llama3.1:8b
Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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