Back to leaderboard

ornith-1.5:9b

OLLAMA GGUF

qwen35 · 9.0B · Q4_K_M

Good

Aug 24, 2026 · Apple M1 Pro

qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

Global Score
69 vs 65
Hardware Fit
95 vs 96
Quality Score
58 vs 51

Hardware

ornith-1.5:9b qwen3-4b-qwen3.6-p…
MachineMacBook ProMac Studio
CPUApple M1 ProApple M2 Max
Cores1012
RAM16 GB96 GB
GPUApple M1 ProApple M2 Max
OSmacOS 26.6.2macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

ornith-1.5:9b qwen3-4b-qwen3.6-p…
Tokens/sec22.299.6
First chunk341 ms18 ms
TTFT341 ms1.6 s
Load time4.8 s4.8 s
Memory usage7.1 GB0.3 GB
Memory %45%0%

HW Fit Score Breakdown

ornith-1.5:9b

Speed
49/50
TTFT
20/20
Memory
26/30

qwen3-4b-qwen3.6-plus-r…

Speed
50/50
TTFT
16/20
Memory
30/30

Quality

ornith-1.5:9b

Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

qwen3-4b-qwen3.6-plus-r…

Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate 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