llama3.3:70b
OLLAMA GGUFllama · 70.6B · Q4_K_M
Jun 26, 2026 · Cortex-X925
gemma3:270m
OLLAMA GGUFgemma3 · 268.10M · Q8_0
Mar 5, 2026 · Apple M3 Pro
Global Score
73 vs 50
Hardware Fit
51 vs 97
Quality Score
83 vs 30
Hardware
llama3.3:70b gemma3:270m
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M3 Pro
Cores2012
RAM122 GB36 GB
GPUDevice 2e12Apple M3 Pro
OSUbuntu 24.04.4 LTSmacOS 15.7.5
Archarm64arm64
Power Modeperformancebalanced
Performance
llama3.3:70b gemma3:270m
Tokens/sec4.6239.2
First chunk560 ms127 ms
TTFT560 ms127 ms
Load time13.8 s0.7 s
Memory usage49.5 GB0.6 GB
Memory %41%2%
HW Fit Score Breakdown
llama3.3:70b
Speed
4/50
TTFT
20/20
Memory
27/30
gemma3:270m
Speed
50/50
TTFT
20/20
Memory
27/30
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
gemma3:270m
Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest