Models & Frontiers
A practical map for tracking frontier model competition, open-weight releases, inference economics, scaling laws and the capability shifts that affect builders and operators.
Use this hub alongside Swarm Signal Resources, AI Agent Systems and AI Safety, Evals & Guardrails.
Start here
- Llama 4 vs Qwen 3 vs DeepSeek V3 vs Mistral Large: Open-Weight Models 2026
- Open-Weight Model Tradeoffs: Llama, Qwen, and DeepSeek
- Mixture of Experts Explained: The Architecture Behind Every Frontier Model
- MoE vs Dense Models: A Practitioner's Decision Guide for 2026
- Best Open-Weight Models for Production AI Agents 2026
- The UAE's AI Gamble: $148 Billion, Open-Source Models, and the Race to Leave Oil Behind
- MoE Models Run 405B Parameters at 13B Cost
- Inference Optimization in 2026: Where the Compute Actually Goes
- Small-Model Routing With Frontier Fallback: The Production Cost Pattern
- Browser-Use Agents After the Computer-Use Benchmarks
Frontier model competition
- Open Source AI Impact: Who Wins When Models Get Cheap
- Open Weights, Closed Minds: The Paradox of 'Open' AI
- China's Qwen Just Dethroned Meta's Llama as the World's Most Downloaded Open Model
- DeepSeek Explained: How a Chinese Lab Rewrote AI Economics
- The Frontier Model Wars: Gemini 3 vs GPT-5 vs Claude 4.5
Inference, scaling and compute
- Inference-Time Scaling: Why AI Models Now Think for Minutes Before Answering
- Scaling Laws Explained for Practitioners: What Actually Matters in 2026
- Inference-Time Compute Is Escaping the LLM Bubble
- Test-Time Compute in 2026: The Complete Practitioner's Guide
- The Inference Budget Just Got Interesting
- MoE's Dirty Secret Is Load Balancing
Benchmarks and evaluation pressure
- The First Model Trained to Swarm: What the Benchmarks Actually Show
- How to Evaluate AI Models Without Trusting Benchmarks
- When Your Judge Can't Read the Room
- Multimodal Agents Are Still Missing the Workflow
- AI Evaluation Frameworks 2026: Why Benchmarks Keep Lying
Open-weight and deployment choices
- The Training Data Problem: Why What Models Learn From Matters More Than How Much
- Model Selection Guide: How to Pick the Right AI Model for Your Use Case
- Transformer Architecture Explained: The Engine Behind Every AI Model