AI Model Reports

AI Model Industry Trends Report

Model scale, training cost, context length, enterprise spend, and current model-market composition.

Training compute growth

4.5x/yr

growth rate

Frontier training cost growth

3.5x/yr

growth rate

Context window growth

30x/yr

growth rate

Enterprise spend growth

3.2x YoY

growth

Key Findings

The market is shifting on scale, cost, and buyer behavior

Compute intensity, training cost, context length, and enterprise spend are moving together. Model choice should be read against those industry pressures, not only against a single benchmark score.

01

Training compute for notable AI models has grown at an estimated 4.5 times per year since 2010, per Epoch AI.

02

The estimated training cost of frontier language models has risen roughly 3.5 times per year since 2020.

03

Context windows for leading language models have expanded an estimated 30 times per year since 2023.

04

These trajectories are long-run estimates built from publicly disclosed model characteristics, not audited or standardized figures.

Source: Epoch AI Trends. All figures are estimates derived from publicly available model disclosures and are subject to revision as new data emerges.

Industry trend indicators

Externally sourced signals for scale, context length, enterprise spending, usage-study size, and organizational adoption.

4.5x/yr
Training compute growth
3.5x/yr
Frontier training cost growth
30x/yr
Context window growth
$37B
Enterprise GenAI spend
3.2x YoY
Enterprise spend growth
100T tokens
OpenRouter usage study
88%
Organizational AI adoption
320x YoY
Reasoning-token growth