Enterprise AI costs hit 2026 low driven by price wars, Chinese open-source models: research
SCMP Techen

The cost for businesses to run AI models has fallen to a yearly low, according to research by investment bank Jefferies, driven by a heated global price war and a surge in adoption of low-cost Chinese open-source tools, such as those from DeepSeek. Average inference prices – measured per million tokens, or chunks of data handled by a model – ranged between US$1.16 and US$1.18 from August 6 to 8. That marked the lowest level recorded this year, Jefferies said on Monday, citing data from US...
This is a short summary published by AI Global Wire. The full article is owned and hosted by SCMP Tech — open it there to read it in full.
Read the full story at SCMP Tech- DeepSeek
- Verktyg
- Forskning
Related AI news
- Sources: Veeda, which is developing world models and is led by ex-Nvidia VP of AI Research Sanja Fidler, raised a $90M+ seed and is backed by Khosla and Radical (Murad Hemmadi/The Logic)Techmeme · August 19, 2026
- Harness launches AI agents that triage and patch vulnerabilitiesSiliconANGLE · August 19, 2026
- VentureBeat names Rob Strechay as its first Lead Analyst, expanding its enterprise AI research pushVentureBeat AI · August 19, 2026
- Cloudera Anywhere Cloud gives AI agents safe, secure access to sensitive data wherever it livesSiliconANGLE · August 19, 2026
- This robot vacuum solves my kitchen stool problemThe Verge · August 19, 2026
- China lets Nvidia's H200 chips trickle onto the mainland to help its AI firms keep pace with the USThe Decoder · August 19, 2026