llama3.3:70b
OLLAMA GGUFllama · 70.6B · Q4_K_M
Jun 26, 2026 · Cortex-X925
qwen3.6:27b
OLLAMA GGUFqwen35 · 27.8B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
Global Score
73 vs 20
Hardware Fit
51 vs 34
Quality Score
83 vs 14
Hardware
llama3.3:70b qwen3.6:27b
MachineNVIDIA NVIDIA_DGX_SparkMac mini
CPUCortex-X925Apple M4 Pro
Cores2012
RAM122 GB24 GB
GPUDevice 2e12Apple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 15.6.1
Archarm64arm64
Power Modeperformancebalanced
Performance
llama3.3:70b qwen3.6:27b
Tokens/sec4.610.6
First chunk560 ms1344 ms
TTFT560 ms30.0 s
Load time13.8 s0.2 s
Memory usage49.5 GB18.1 GB
Memory %41%75%
HW Fit Score Breakdown
llama3.3:70b
Speed
4/50
TTFT
20/20
Memory
27/30
qwen3.6:27b
Speed
22/50
TTFT
0/20
Memory
12/30
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
qwen3.6:27b
Reasoning
2/20
Coding
1/20
Instruction
2/20
Structured
1/15
Math
2/15
Multilingual
6/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate
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