llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Jun 26, 2026 · Cortex-A78AE
gemma4:12b
OLLAMA GGUFgemma4 · 11.9B · Q4_K_M
Jul 4, 2026 · Apple M2 Pro
Global Score
46 vs 89
Hardware Fit
61 vs 88
Quality Score
40 vs 89
Hardware
llama3.1:8b gemma4:12b
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperMacBook Pro
CPUCortex-A78AEApple M2 Pro
Cores610
RAM7 GB16 GB
GPUIntegrated / UnknownApple M2 Pro
OSUbuntu 22.04.5 LTSmacOS 26.5
Archarm64arm64
Power Modebalancedbalanced
Performance
llama3.1:8b gemma4:12b
Tokens/sec7.818.4
First chunk1625 ms758 ms
TTFT1.6 s758 ms
Load time21.8 s0.3 s
Memory usage5.2 GB7.5 GB
Memory %71%47%
HW Fit Score Breakdown
llama3.1:8b
Speed
26/50
TTFT
20/20
Memory
15/30
gemma4:12b
Speed
42/50
TTFT
20/20
Memory
26/30
Quality
llama3.1:8b
Reasoning
12/20
Coding
10/20
Instruction
4/20
Structured
1/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Weak Multilingual: Strong
gemma4:12b
Reasoning
17/20
Coding
18/20
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
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