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qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

qwen3-5-4b-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
86 vs 83
Hardware Fit
100 vs 100
Quality Score
80 vs 76

Hardware

qwen3.5:9b-q8_0 qwen3-5-4b-q4-k-m
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4Mac Pro
CPUIntel Core™ i5-14400FIntel Core™ i5-10400
Cores1612
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 5060 TiAMD Radeon RX 6700 XT
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.5.1
Archx64x64
Power Modebalancedbalanced

Performance

qwen3.5:9b-q8_0 qwen3-5-4b-q4-k-m
Tokens/sec37.762.7
First chunk120 ms278 ms
TTFT120 ms278 ms
Load time8.3 s0.0 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

qwen3-5-4b-q4-k-m

Speed
50/50
TTFT
20/20
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

qwen3-5-4b-q4-k-m

Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5:9b-q8_0 details | View qwen3-5-4b-q4-k-m details

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