llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Jun 26, 2026 · Cortex-A78AE

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score

63 vs 71

Hardware Fit

100 vs 86

Quality Score

47 vs 65

Hardware

llama3.2:1b mistral-nemo:12b

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 mistral-nemo:12b

Tokens/sec40.214.6

First chunk1087 msN/A

TTFT1.1 s371 ms

Load time6.2 s1.0 s

Memory usage1.4 GB13.3 GB

Memory %19%42%

HW Fit Score Breakdown

llama3.2:1b

Speed

50/50

TTFT

20/20

Memory

30/30

mistral-nemo:12b

Speed

26/50

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

mistral-nemo:12b

Reasoning

12/20

Coding

13/20

Instruction

11/20

Structured

15/15

Math

4/15

Multilingual

10/10

Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

View llama3.2:1b details | View mistral-nemo:12b 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