Back to leaderboard

qwen3.5-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Good

Mar 3, 2026 · Apple M4

gemma3n:latest

OLLAMA GGUF

gemma3n · 6.9B · Q4_K_M

Excellent

Mar 6, 2026 · AMD EPYC 9654P 96-Core Processor

Global Score
75 vs 81
Hardware Fit
54 vs 100
Quality Score
84 vs 73

Hardware

qwen3.5-27b gemma3n:latest
MachineMacBook AirSupermicro AS -2015HS-TNR
CPUApple M4AMD EPYC 9654P 96-Core Processor
Cores1064
RAM32 GB128 GB
GPUApple M4GH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSmacOS 26.3Ubuntu 24.04.3 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen3.5-27b gemma3n:latest
Tokens/sec6.6108.7
First chunk4364 ms333 ms
TTFT4.4 s333 ms
Load timeN/A4.5 s
Memory usage15.0 GB8.6 GB
Memory %47%7%

HW Fit Score Breakdown

qwen3.5-27b

Speed
13/50
TTFT
11/20
Memory
30/30

gemma3n:latest

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

Quality

qwen3.5-27b

Reasoning
17/20
Coding
18/20
Instruction
11/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

gemma3n:latest

Reasoning
14/20
Coding
14/20
Instruction
14/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate 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