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llama3.3:70b

OLLAMA GGUF

llama · 70.6B · Q4_K_M

Not Rec.

Jun 26, 2026 · Cortex-X925

gemma4:12b-mlx

OLLAMA GGUF
Excellent

Jul 4, 2026 · Apple M2 Pro

Global Score
73 vs 81
Hardware Fit
51 vs 82
Quality Score
83 vs 81

Hardware

llama3.3:70b gemma4:12b-mlx
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M2 Pro
Cores2010
RAM122 GB16 GB
GPUDevice 2e12Apple M2 Pro
OSUbuntu 24.04.4 LTSmacOS 26.5
Archarm64arm64
Power Modeperformancebalanced

Performance

llama3.3:70b gemma4:12b-mlx
Tokens/sec4.625.3
First chunk560 ms761 ms
TTFT560 ms7.7 s
Load time13.8 s3.6 s
Memory usage49.5 GB7.1 GB
Memory %41%44%

HW Fit Score Breakdown

llama3.3:70b

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

gemma4:12b-mlx

Speed
50/50
TTFT
6/20
Memory
26/30

Quality

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

gemma4:12b-mlx

Reasoning
16/20
Coding
15/20
Instruction
12/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View llama3.3:70b details | View gemma4:12b-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