Back to leaderboard

llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Jun 26, 2026 · Cortex-A78AE

qwen3.6:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Jun 25, 2026 · Apple M4 Pro

Global Score
63 vs 20
Hardware Fit
100 vs 34
Quality Score
47 vs 14

Hardware

llama3.2:1b qwen3.6:27b
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperMac mini
CPUCortex-A78AEApple M4 Pro
Cores612
RAM7 GB24 GB
GPUIntegrated / UnknownApple M4 Pro
OSUbuntu 22.04.5 LTSmacOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

llama3.2:1b qwen3.6:27b
Tokens/sec40.210.6
First chunk1087 ms1344 ms
TTFT1.1 s30.0 s
Load time6.2 s0.2 s
Memory usage1.4 GB18.1 GB
Memory %19%75%

HW Fit Score Breakdown

llama3.2:1b

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

qwen3.6:27b

Speed
22/50
TTFT
0/20
Memory
12/30

Quality

llama3.2:1b

Reasoning
4/20
Coding
9/20
Instruction
14/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

qwen3.6:27b

Reasoning
2/20
Coding
1/20
Instruction
2/20
Structured
1/15
Math
2/15
Multilingual
6/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate
View llama3.2:1b details | View qwen3.6:27b 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