mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Jun 26, 2026 · Cortex-A78AE

Global Score

71 vs 63

Hardware Fit

86 vs 100

Quality Score

65 vs 47

Hardware

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

MachineMacBook AirNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super

CPUApple M4Cortex-A78AE

Cores106

RAM32 GB7 GB

GPUApple M4Integrated / Unknown

OSmacOS 26.3Ubuntu 22.04.5 LTS

Archarm64arm64

Power Modebalancedbalanced

Performance

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

Tokens/sec14.640.2

First chunkN/A1087 ms

TTFT371 ms1.1 s

Load time1.0 s6.2 s

Memory usage13.3 GB1.4 GB

Memory %42%19%

HW Fit Score Breakdown

mistral-nemo:12b

Speed

26/50

TTFT

30/20

Memory

30/30

llama3.2:1b

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

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

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

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