5 results for “token pricing”
AI model costs are forcing OpenAI, Meta, xAI and other major labs to shift their sales pitch from raw capability toward cheaper intelligence per task. Enterprise AI bills have become a board-level concern.
OpenAI says Perplexity trusts GPT-6 Astra to write communications, edit software, and monitor production with less oversight. The endorsement suggests Astra's computer-use skills are crossing a trust threshold.
OpenAI released the Agents API in public beta, providing a managed orchestration layer for long-running agents with hosted sandboxes and multi-agent support. This allows developers to build production agents without custom orchestration infrastructure.
Google DeepMind launched agentic video understanding for Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite, cutting token use by up to 88% and costs by up to 66% while boosting accuracy. The feature lets models dynamically scan video instead of fixed-rate sampling, available today via the Gemini API.
Meta's Superintelligence Labs has released Muse Glimmer, a 30-billion-parameter open-weight model built specifically for always-on local agent workflows. Local agentic models change the economics of AI deployment.