AI adoption, spending, usage patterns, benchmark signals, model availability, and model mix.

Can I reuse the data?

Yes. The public JSON and Markdown files are designed for citation targets, lightweight analysis, and dashboards. External report figures should cite the original source.

Why do the numbers differ?

AI sources measure different samples and time periods. Keeping notes close to each chart prevents surveys, benchmarks, usage studies, and model data from being mixed incorrectly.

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 HAI

88%

organizations

The 2026 AI Index reports broad organizational adoption of AI.

Industry frontier-model share

Stanford HAI

>90%

2025 notable frontier models

Stanford AI Index reports most notable frontier models in 2025 came from industry labs.

Enterprise GenAI spend

Menlo Ventures

$37B

2025 spend

Menlo estimates U.S. enterprise generative AI spend reached $37B in 2025.

Enterprise spend growth

Menlo Ventures

3.2x YoY

growth

Estimated enterprise GenAI spend grew from $11.5B in 2024 to $37B in 2025.

Model market data

Data landscapeSources

Adoption, spend, public datasets, and TokenLab's current model coverage.

Trend reportCharts

Compute, context length, cost movement, adoption, and model mix in one visual report.

Research librarySources

Selected model research with source links and practical buying notes.

Key Findings

Catalog coverage and source signals

Current public models are paired with pricing, benchmark, adoption, and provider-documentation sources.

TokenLab's public catalog groups model entries by family, provider, category, and pricing unit.

Machine-readable mirrors expose the catalog, latest summary, trend snapshot, research links, and Markdown summary.

External sources add adoption, spending, benchmark, and public-dataset context around the catalog.

Official provider documentation remains the reference for prices, request formats, capability claims, and lifecycle notes.

The catalog covers availability and pricing units. Source notes identify adoption, benchmark, and provider-data origins.

TokenLab model coverage

TokenLab shows current model availability, providers, categories, and price-unit distribution in one place.

Models341

Model families70

Providers29

Categories13