Back to leaderboard

deepscaler:1.5b

OLLAMA GGUF

qwen2 · 1.8B · F16

Good

Oct 11, 2026 · AMD Ryzen 5 5500

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4 Pro

Global Score
64 vs 72
Hardware Fit
98 vs 89
Quality Score
49 vs 65

Hardware

deepscaler:1.5b qwen3.5-9b
MachineMicrosoft WSLMac mini
CPUAMD Ryzen 5 5500Apple M4 Pro
Cores1214
RAM8 GB64 GB
GPUIntegrated / UnknownApple M4 Pro
OSUbuntu 26.04.1 LTSmacOS 15.7.4
Archx64arm64
Power Modeunknownbalanced

Performance

deepscaler:1.5b qwen3.5-9b
Tokens/sec104.628.9
First chunk849 ms338 ms
TTFT850 ms338 ms
Load time10.5 sN/A
Memory usage3.0 GB6.1 GB
Memory %40%10%

HW Fit Score Breakdown

deepscaler:1.5b

Speed
50/50
TTFT
20/20
Memory
28/30

qwen3.5-9b

Speed
39/50
TTFT
20/20
Memory
30/30

Quality

deepscaler:1.5b

Reasoning
10/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
11/15
Multilingual
5/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Adequate Multilingual: Weak

qwen3.5-9b

Reasoning
17/20
Coding
15/20
Instruction
6/20
Structured
7/15
Math
12/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Strong 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