total parameters
The sum of all trainable weights in a machine learning model’s architecture, representing its theoretical capacity to store information. This metric differs from activated parameters (the subset actively used during inference).
Examples
- Kimi K2 (Moonshot AI): 1 trillion total parameters (32 billion activated parameters) Kiki K2 - Prompt Engineering
- DeepSeek V4 (DeepSeek): Open-source suite of large language models (Analysis)
Backlink: 2026 04 14 Kiki K2 Prompt Engineering; 2026 04 24 DeepSeek V4 Next Gen Open Source LLM Performance and Efficiency Analysis
Source Notes
- 2026-04-14: “But OpenClaw is expensive…”
- 2026-04-24: DeepSeek · ▶ source
- 2026-04-07: Benchmarking SLMs Identifying 4GB General Problem Solving Champions · ▶ source
- 2026-04-23: Excel
- 2026-04-26: DeepSeek V4: China
- 2026-04-30: Google DeepMind