Artificial Analysis

Artificial Analysis is a research and analysis platform dedicated to the AI model landscape. It doesn't host or run models itself. Instead, it acts as an independent source of truth, continuously evaluating and comparing hundreds of language models and AI agents from providers like OpenAI, Anthropic, Google, and Mistral. The core of the service is its Intelligence Index, a composite score built from over ten different benchmarks that measure reasoning, coding, and general knowledge. For each model, the site tracks key practical metrics: price per token, output speed, and context window size, giving developers a clear, data-driven picture of the trade-offs.

What sets Artificial Analysis apart is its focus on actionable, real-world data rather than marketing claims. The platform visualizes the intelligence-versus-cost relationship, helping users spot the most efficient models. It also expands beyond basic LLMs to evaluate AI 'agents' designed for specific tasks like coding or customer support. A recommendation engine lets you input your own priorities for intelligence, speed, and budget to get a tailored shortlist. The site is updated frequently with evaluations of new models and detailed articles analyzing industry trends.

This tool is most valuable for developers and technical teams who are integrating AI into their products and need to make informed choices. A startup CTO could use it to find a cost-effective model for a new feature. A research lead might use it to monitor the rapid progress of open-weight models. By consolidating scattered benchmark data and pricing into a single, neutral dashboard, Artificial Analysis saves significant research time and reduces the risk of choosing an underperforming or overpriced AI provider.