AI performance costs are falling faster than those of any previous technology
The Decoderen

AI is hitting a fixed benchmark performance level at a rapidly falling cost. Epoch AI measures a price decline of about 13x per year. After stripping out hardware gains and competition, MIT puts annual algorithmic progress at about 3x. That doesn't mean today's best models are cheaper, though. Reasoning models, for example, can cost more because they use far more compute per task. When picking a model for real-world use, quality, speed, and error rate matter just as much as price. The article AI performance costs are falling faster than those of any previous technology appeared first on The Decoder .
This is a short summary published by AI Global Wire. The full article is owned and hosted by The Decoder — open it there to read it in full.
Read the full story at The Decoder- Verktyg
Related AI news
- AI agents creating a new insider security risk: theCUBE’s Oktane keynote analysisSiliconANGLE · September 24, 2026
- Sources: the White House asked OpenAI and Anthropic not to share new models with UK's AISI until US reviews them; Anthropic appears to have agreed (Politico)Techmeme · September 24, 2026
- Muse sure looks a lot like OpenClawThe Verge AI · September 24, 2026
- Palo Alto Networks tackles the risks of autonomous AI agentsSiliconANGLE · September 24, 2026
- Black Forest Labs launches FLUX 3 Action, an open robotics AI modelThe Decoder · September 24, 2026
- US is head over heels for AI agents, while Europe remains dubiousSiliconANGLE · September 24, 2026