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mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

mlx-community/gemma-3-1b-it-8bit

LM-STUDIO GGUF
Good

Mar 5, 2026 · Apple M4

Global Score
71 vs 72
Hardware Fit
86 vs 99
Quality Score
65 vs 61

Hardware

mistral-nemo:12b mlx-community/gemm…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

mistral-nemo:12b mlx-community/gemm…
Tokens/sec14.686.3
First chunkN/A253 ms
TTFT371 ms253 ms
Load time1.0 sN/A
Memory usage13.3 GB1.1 GB
Memory %42%4%

HW Fit Score Breakdown

mistral-nemo:12b

Speed
26/50
TTFT
30/20
Memory
30/30

mlx-community/gemma-3-1…

Speed
50/50
TTFT
20/20
Memory
29/30

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

mlx-community/gemma-3-1…

Reasoning
7/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
2/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong

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