llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Jun 26, 2026 · Cortex-A78AE

smollm2:135m

OLLAMA GGUF

llama · 134.52M · F16

Marginal

Mar 2, 2026 · Apple M4

Global Score

63 vs 41

Hardware Fit

100 vs 100

Quality Score

47 vs 15

Hardware

llama3.2:1b smollm2:135m

MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperMacBook Air

CPUCortex-A78AEApple M4

Cores610

RAM7 GB32 GB

GPUIntegrated / UnknownApple M4

OSUbuntu 22.04.5 LTSmacOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

llama3.2:1b smollm2:135m

Tokens/sec40.2241.0

First chunk1087 msN/A

TTFT1.1 s39 ms

Load time6.2 s0.4 s

Memory usage1.4 GB0.6 GB

Memory %19%2%

HW Fit Score Breakdown

llama3.2:1b

Speed

50/50

TTFT

20/20

Memory

30/30

smollm2:135m

Speed

40/50

TTFT

30/20

Memory

30/30

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

smollm2:135m

Reasoning

4/20

Coding

1/20

Instruction

6/20

Structured

2/15

Math

1/15

Multilingual

1/10

Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

View llama3.2:1b details | View smollm2:135m 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