llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Marginal

Jun 26, 2026 · Cortex-A78AE

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score

46 vs 71

Hardware Fit

61 vs 86

Quality Score

40 vs 65

Hardware

llama3.1:8b 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

llama3.1:8b mistral-nemo:12b

Tokens/sec7.814.6

First chunk1625 msN/A

TTFT1.6 s371 ms

Load time21.8 s1.0 s

Memory usage5.2 GB13.3 GB

Memory %71%42%

HW Fit Score Breakdown

llama3.1:8b

Speed

26/50

TTFT

20/20

Memory

15/30

mistral-nemo:12b

Speed

26/50

TTFT

30/20

Memory

30/30

Quality

llama3.1:8b

Reasoning

12/20

Coding

10/20

Instruction

4/20

Structured

1/15

Math

4/15

Multilingual

9/10

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

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 llama3.1:8b 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