Google Gemini
Nano Banana Pro lifecycle transition: preview → GA.
1h
Google Gemini
Gemini 2.5 Pro Preview TTS lifecycle transition: preview → GA.
1h
Google Gemini
Deep Research Preview (Apr-21-2026) lifecycle transition: previ…
1h
Google Gemini
Gemini 3.1 Flash Live Preview lifecycle transition: preview → G…
3h
OpenAI
GPT-4 pricing changed: input $0.06 → $0.03/M.
5h
Google Gemini
Nano Banana Pro lifecycle transition: preview → GA.
5h
Google Gemini
Gemini 3 Flash Preview lifecycle transition: preview → GA.
5h
Google Gemini
gemini-3-1-flash-lite-preview lifecycle transition: preview → G…
5h
Google Gemini
Deep Research Preview (Apr-21-2026) lifecycle transition: previ…
5h
Google Gemini
Gemini 3.1 Flash Live Preview lifecycle transition: preview → G…
9h
OpenAI
GPT-4 pricing changed: input $0.03 → $0.06/M.
1d
OpenAI
GPT-4 added fine-tuning support.
1d
Google Gemini
Gemini 3 Flash Preview lifecycle transition: preview → GA.
1d
Google Gemini
gemini-3.1-flash-lite-preview lifecycle transition: preview → G…
1d
OpenAI
GPT-4 added function calling support.
1d
Google Gemini
Nano Banana Pro lifecycle transition: preview → GA.
1d
What's actually happening across the AI market.
Comparative views across every tracked provider — pricing direction, capability spread, lifecycle activity. Built from tracked changes to each provider's own docs, not press releases or vendor decks.
Today's AI pricing landscape
Where input and output prices actually sit across the tracked market — the budget, workhorse, and premium tiers, and the full spread.
$0.78/M median input across 108 models · 7500× spread
Where the market is cheap — and where it bites
Every provider ranked cheapest to priciest, plus the models whose output token costs many times their input.
Cheapest: Meta $0.12/M · output up to 20× input
Capability adoption by provider
Which providers lead on vision, function calling, prompt caching, batch API, and fine-tuning — by share of their current lineup.
Stability AI leads on vision — 100% of their current lineup
Stack risk radar
Preview-only, deprecated, and soon-to-retire models across every provider — spot the risk in your stack before it bites.
16 preview
Updated as we track new changes. Every value links to the source page it came from.
Methodology →