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gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score
90 vs 71
Hardware Fit
78 vs 86
Quality Score
95 vs 65

Hardware

gemma4:e4b-mlx mistral-nemo:12b
MachineMacBook ProMacBook Air
CPUApple M2 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M2 ProApple M4
OSmacOS 26.5macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx mistral-nemo:12b
Tokens/sec46.114.6
First chunk284 msN/A
TTFT3.9 s371 ms
Load time0.1 s1.0 s
Memory usage10.8 GB13.3 GB
Memory %68%42%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
12/20
Memory
16/30

mistral-nemo:12b

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

Quality

gemma4:e4b-mlx

Reasoning
19/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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 gemma4:e4b-mlx 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