mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

qwen3.8-27b-mlx

LM-STUDIO UNKNOWN

27B

Good

Aug 17, 2026 · Apple M5 Max

Global Score

71 vs 66

Hardware Fit

86 vs 91

Quality Score

65 vs 55

Hardware

mistral-nemo:12b qwen3.8-27b-mlx

MachineMacBook AirMacBook Pro

CPUApple M4Apple M5 Max

Cores1018

RAM32 GB64 GB

GPUApple M4Apple M5 Max

OSmacOS 26.3macOS 27.0

Archarm64arm64

Power Modebalancedbalanced

Performance

mistral-nemo:12b qwen3.8-27b-mlx

Tokens/sec14.633.2

First chunkN/A7 ms

TTFT371 ms311 ms

Load time1.0 sN/A

Memory usage13.3 GB0.5 GB

Memory %42%1%

HW Fit Score Breakdown

mistral-nemo:12b

Speed

26/50

TTFT

30/20

Memory

30/30

qwen3.8-27b-mlx

Speed

41/50

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

qwen3.8-27b-mlx

Reasoning

19/20

Coding

13/20

Instruction

6/20

Structured

0/15

Math

14/15

Multilingual

3/10

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

View mistral-nemo:12b details | View qwen3.8-27b-mlx 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