Back to leaderboard

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

gemma3:270m

OLLAMA GGUF

gemma3 · 268.10M · Q8_0

Marginal

Mar 5, 2026 · Apple M3 Pro

Global Score
71 vs 50
Hardware Fit
56 vs 97
Quality Score
78 vs 30

Hardware

qwen3.5:9b gemma3:270m
MachineSystem manufacturerMacBook Pro
CPUAMD Ryzen 5 5500Apple M3 Pro
Cores1212
RAM16 GB36 GB
GPUNVIDIA GeForce RTX 3060Apple M3 Pro
OSMicrosoft Windows 11 IoT Enterprise LTSC 10.0.26100macOS 15.7.5
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b gemma3:270m
Tokens/sec5.3239.2
First chunk1624 ms127 ms
TTFT1.6 s127 ms
Load time4.0 s0.7 s
Memory usage7.9 GB0.6 GB
Memory %50%2%

HW Fit Score Breakdown

qwen3.5:9b

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

gemma3:270m

Speed
50/50
TTFT
20/20
Memory
27/30

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

gemma3:270m

Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
View qwen3.5:9b details | View gemma3:270m 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