Back to leaderboard

qwen3.5-9b

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Excellent

Mar 3, 2026 · Apple M4

gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
81 vs 76
Hardware Fit
84 vs 51
Quality Score
79 vs 87

Hardware

qwen3.5-9b gemma-3-27b-it-qat
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-9b gemma-3-27b-it-qat
Tokens/sec20.48.9
First chunk3034 ms3976 ms
TTFT3.0 s4.0 s
Load timeN/AN/A
Memory usage5.6 GB15.7 GB
Memory %17%25%

HW Fit Score Breakdown

qwen3.5-9b

Speed
41/50
TTFT
14/20
Memory
29/30

gemma-3-27b-it-qat

Speed
12/50
TTFT
9/20
Memory
30/30

Quality

qwen3.5-9b

Reasoning
14/20
Coding
15/20
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

gemma-3-27b-it-qat

Reasoning
16/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong 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