Back to leaderboard

gemma4:12b-mlx

OLLAMA GGUF
Excellent

Jul 4, 2026 · Apple M2 Pro

llama3.3:70b

OLLAMA GGUF

llama · 70.6B · Q4_K_M

Not Rec.

Jun 26, 2026 · Cortex-X925

Global Score
91 vs 73
Hardware Fit
96 vs 51
Quality Score
89 vs 83

Hardware

gemma4:12b-mlx llama3.3:70b
MachineMacBook ProNVIDIA NVIDIA_DGX_Spark
CPUApple M2 ProCortex-X925
Cores1020
RAM16 GB122 GB
GPUApple M2 ProDevice 2e12
OSmacOS 26.5Ubuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance

Performance

gemma4:12b-mlx llama3.3:70b
Tokens/sec24.74.6
First chunk610 ms560 ms
TTFT610 ms560 ms
Load time3.6 s13.8 s
Memory usage7.1 GB49.5 GB
Memory %45%41%

HW Fit Score Breakdown

gemma4:12b-mlx

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

llama3.3:70b

Speed
4/50
TTFT
20/20
Memory
27/30

Quality

gemma4:12b-mlx

Reasoning
16/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

llama3.3:70b

Reasoning
17/20
Coding
18/20
Instruction
12/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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