Every AI Model Explained

TL;DR

AI models fall into four tiers — flagship, mid-tier, light, and specialist — each trading capability for speed and cost.

Key Points

• 1.Flagship models (GPT-5.2, Claude Opus 4.6, Grok 4.1, Gemini 3 Pro) are the most capable and expensive, best for complex multimodal tasks, advanced coding, and deep reasoning — use them when quality matters most.
• 2.Mid-tier models (Claude Sonnet 4.5) balance capability and cost, handling ~80% of everyday tasks like coding from scratch, data analysis, and building interactive dashboards — the true workhorses of AI.
• 3.Light models (Gemini 3 Flash) are optimized for speed and cost, retaining 90–95% of the flagship's capability via knowledge distillation — ideal when you need fast results on a tight deadline.
• 4.Open-source models (Kimi K2.5) can be downloaded and run locally for free, making them ideal for privacy-sensitive tasks like analyzing financial statements or emails without leaking data to third-party platforms.
• 5.Specialist models (Perplexity Sonar, based on Llama 3.3 7B) are fine-tuned for specific tasks like research and citations, capable of pulling from multiple sources and evaluating credibility — great for medical or legal queries.
• 6.Grok stands out as an anomaly: it's ranked #1 in user preference polls for capability while also being fast, cheap, and having a 2-million-token context window — plus users rate it highest for emotional intelligence.