Back to leaderboard

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

gemma-3-4b-it-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
71 vs 80
Hardware Fit
56 vs 100
Quality Score
78 vs 71

Hardware

qwen3.5:9b gemma-3-4b-it-q4-k-m
MachineSystem manufacturerMac Pro
CPUAMD Ryzen 5 5500Intel Core™ i5-10400
Cores1212
RAM16 GB32 GB
GPUNVIDIA GeForce RTX 3060AMD Radeon RX 6700 XT
OSMicrosoft Windows 11 IoT Enterprise LTSC 10.0.26100macOS 26.5.1
Archx64x64
Power Modebalancedbalanced

Performance

qwen3.5:9b gemma-3-4b-it-q4-k-m
Tokens/sec5.375.0
First chunk1624 ms136 ms
TTFT1.6 s136 ms
Load time4.0 s0.0 s
Memory usage7.9 GB0.8 GB
Memory %50%3%

HW Fit Score Breakdown

qwen3.5:9b

Speed
11/50
TTFT
20/20
Memory
25/30

gemma-3-4b-it-q4-k-m

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

Quality

qwen3.5:9b

Reasoning
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

gemma-3-4b-it-q4-k-m

Reasoning
11/20
Coding
17/20
Instruction
14/20
Structured
14/15
Math
5/15
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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest