ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score

76 vs 71

Hardware Fit

89 vs 86

Quality Score

71 vs 65

Hardware

ministral-3:8b mistral-nemo:12b

MachineMacBook AirMacBook Air

CPUApple M4Apple M4

Cores1010

RAM32 GB32 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

ministral-3:8b mistral-nemo:12b

Tokens/sec19.514.6

First chunk328 msN/A

TTFT328 ms371 ms

Load time1.5 s1.0 s

Memory usage10.6 GB13.3 GB

Memory %33%42%

HW Fit Score Breakdown

ministral-3:8b

Speed

39/50

TTFT

20/20

Memory

30/30

mistral-nemo:12b

Speed

26/50

TTFT

30/20

Memory

30/30

Quality

ministral-3:8b

Reasoning

12/20

Coding

18/20

Instruction

12/20

Structured

13/15

Math

6/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong 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 ministral-3:8b 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