qwen3.5-9b-64k:latest
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Oct 31, 2026 · Intel Gen Intel® Core™ i9-12900H
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 22, 2026 · Apple M1 Pro
Global Score
75 vs 66
Hardware Fit
68 vs 100
Quality Score
78 vs 52
Hardware
qwen3.5-9b-64k:lat… hf.co/empero-ai/Qw…
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-64k:lat… hf.co/empero-ai/Qw…
Tokens/sec12.640.2
First chunk586 ms325 ms
TTFT586 ms325 ms
Load time15.0 s3.1 s
Memory usage8.1 GB4.7 GB
Memory %26%30%
HW Fit Score Breakdown
qwen3.5-9b-64k:latest
Speed
18/50
TTFT
20/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-9b-64k:latest
Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
hf.co/empero-ai/Qwen3.8…
Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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