Back to leaderboard

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

Global Score
84 vs 64
Hardware Fit
94 vs 92
Quality Score
80 vs 52

Hardware

qwen3.5:9b hf.co/bartowski/ai…
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M1 Pro
Cores2010
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M1 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b hf.co/bartowski/ai…
Tokens/sec86.329.9
First chunk316 ms108 ms
TTFT316 ms108 ms
Load time0.3 s3.4 s
Memory usage8.1 GB8.9 GB
Memory %25%56%

HW Fit Score Breakdown

qwen3.5:9b

Speed
50/50
TTFT
20/20
Memory
24/30

hf.co/bartowski/ai9star…

Speed
50/50
TTFT
20/20
Memory
22/30

Quality

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

hf.co/bartowski/ai9star…

Reasoning
17/20
Coding
14/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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