Back to leaderboard

qwen/qwen3.6-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Oct 22, 2026 · Apple M1 Pro

llama3.2:3b

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Jun 25, 2026 · Cortex-A78AE

Global Score
80 vs 74
Hardware Fit
56 vs 99
Quality Score
90 vs 63

Hardware

qwen/qwen3.6-27b llama3.2:3b
MachineMacBook ProNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUApple M1 ProCortex-A78AE
Cores106
RAM32 GB7 GB
GPUApple M1 ProIntegrated / Unknown
OSmacOS 15.6.1Ubuntu 22.04.5 LTS
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen/qwen3.6-27b llama3.2:3b
Tokens/sec10.821.1
First chunk16 ms1032 ms
TTFT2.6 s1.0 s
Load timeN/A8.4 s
Memory usage21.0 GB2.4 GB
Memory %66%32%

HW Fit Score Breakdown

qwen/qwen3.6-27b

Speed
23/50
TTFT
16/20
Memory
17/30

llama3.2:3b

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

Quality

qwen/qwen3.6-27b

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

llama3.2:3b

Reasoning
10/20
Coding
14/20
Instruction
15/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
View qwen/qwen3.6-27b details | View llama3.2:3b 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