mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

qwen3.6:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Jun 25, 2026 · Apple M4 Pro

Global Score

71 vs 20

Hardware Fit

86 vs 34

Quality Score

65 vs 14

Hardware

mistral-nemo:12b qwen3.6:27b

MachineMacBook AirMac mini

CPUApple M4Apple M4 Pro

Cores1012

RAM32 GB24 GB

GPUApple M4Apple M4 Pro

OSmacOS 26.3macOS 15.6.1

Archarm64arm64

Power Modebalancedbalanced

Performance

mistral-nemo:12b qwen3.6:27b

Tokens/sec14.610.6

First chunkN/A1344 ms

TTFT371 ms30.0 s

Load time1.0 s0.2 s

Memory usage13.3 GB18.1 GB

Memory %42%75%

HW Fit Score Breakdown

mistral-nemo:12b

Speed

26/50

TTFT

30/20

Memory

30/30

qwen3.6:27b

Speed

22/50

TTFT

0/20

Memory

12/30

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

qwen3.6:27b

Reasoning

2/20

Coding

1/20

Instruction

2/20

Structured

1/15

Math

2/15

Multilingual

6/10

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

View mistral-nemo:12b details | View qwen3.6:27b 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