mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

qwen3.5-9b-mlx

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Marginal

Mar 11, 2026 · Apple M4

Global Score

71 vs 59

Hardware Fit

86 vs 65

Quality Score

65 vs 57

Hardware

mistral-nemo:12b qwen3.5-9b-mlx

MachineMacBook AirMac mini

CPUApple M4Apple M4

Cores1010

RAM32 GB24 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

mistral-nemo:12b qwen3.5-9b-mlx

Tokens/sec14.614.3

First chunkN/A24 ms

TTFT371 ms13.4 s

Load time1.0 s13.3 s

Memory usage13.3 GB2.5 GB

Memory %42%10%

HW Fit Score Breakdown

mistral-nemo:12b

Speed

26/50

TTFT

30/20

Memory

30/30

qwen3.5-9b-mlx

Speed

32/50

TTFT

3/20

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

qwen3.5-9b-mlx

Reasoning

10/20

Coding

17/20

Instruction

5/20

Structured

9/15

Math

11/15

Multilingual

5/10

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

View mistral-nemo:12b details | View qwen3.5-9b-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