AI Model Reports
Public model data and sources
Public catalog coverage, source types, pricing units, categories, and reusable JSON and Markdown files.
Organizational AI adoption
Stanford HAI88%
organizations
Industry frontier-model share
Stanford HAI>90%
2025 notable frontier models
Enterprise GenAI spend
Menlo Ventures$37B
2025 spend
Enterprise spend growth
Menlo Ventures3.2x YoY
growth
Model market data
Source Landscape
Industry sources
Sources: Stanford AI Index 2026; Menlo Ventures 2025 Enterprise GenAI report; OpenAI enterprise usage data. Consumer ChatGPT figures from OpenAI Signals exclude enterprise and Codex usage and should not be combined with enterprise figures.
2026 AI Index Report
Stanford HAI
Broad industry takeaways across technical performance, economy, science, policy, education, and public opinion.
Annual report cadence means fast model launches can move faster than the report cycle.
Trends in Artificial Intelligence
Epoch AI
Long-run trend rates for training compute, training cost, hardware, context windows, and inference prices.
Several estimates depend on frontier-model disclosures and confidence intervals rather than complete public reporting.
Models: Intelligence, Performance & Price
Artificial Analysis
Comparing models across quality, output speed, latency, context window, and price.
Benchmark coverage and pricing assumptions are third-party measurements, not provider-owned claims.
State of AI: 100T Token Study
OpenRouter + a16z
Real-world multi-model usage patterns across tasks, geography, retention, open vs. closed source, and cost dynamics.
The sample reflects OpenRouter traffic, so it is strongest for developer and multi-model usage patterns.
Anthropic Economic Index
Anthropic
Claude usage patterns, occupational exposure, geography, delegation, and economic impact signals.
It is a provider-specific window into Claude usage rather than the whole AI market.
State of Enterprise AI 2025
OpenAI
Enterprise ChatGPT adoption, reasoning-token growth, and product integration signals.
It is first-party OpenAI enterprise data, so it should not be generalized to all providers.
Industry sources
Annual reports show adoption, public datasets track long-run change, platform studies show usage, and benchmark sites compare quality, speed, and price.
