AI Model Reports
AI Model Research Library
Market research on model performance, adoption, economics, and production choices.
Selected reports
8
articles
Families
10
Major model families
Industry sources
11
Source Landscape
Signal types
4
coverage areas
Key Findings
Market signals are split across usage, benchmarks, and provider data
OpenRouter, Artificial Analysis, Arena, Anthropic, Stanford, Epoch AI, Menlo, and provider docs each show a different slice of model demand, quality, cost, and adoption.
01
OpenRouter's State of AI 2025 study analyzes 100 trillion tokens of multi-model traffic, making it useful for understanding developer-side demand.
02
Artificial Analysis and Arena help compare model quality, speed, price, and preference signals alongside task type and latency needs.
03
Anthropic Economic Index adds a Claude-specific view of workplace use, while broader market reports explain adoption and spending outside one provider.
Primary sources include OpenRouter, Artificial Analysis, Arena, Anthropic, Stanford, Epoch AI, Menlo Ventures, and official provider documentation.
Source mix
Market reports, benchmark sites, provider docs, public datasets, and model data answer different market questions.
Coverage by topic
Coverage spans leaderboard reading, model economics, production infrastructure, media generation, and regional ecosystems.
Article mix
Benchmark, pricing, infrastructure, media, and regional-ecosystem coverage are strongest right now.
Common questions
Which model questions are covered?
Model rankings, cost, infrastructure, media generation, regional ecosystems, model-family context, and source links for deeper reading.
Can I cite the charts?
Yes. Cite TokenLab for the summary, and cite the original report or benchmark when using a specific external figure.
Can a benchmark pick the best model for me?
No. Benchmarks are useful inputs, but the right model still depends on task shape, budget, latency, context size, and reliability needs.
