OpenAI has reduced the prices of its GPT-5.6 models by 20-80%, with GPT-5.6 Luna now costing $0.20 per million input tokens and $1.20 per million output tokens, a decrease of 80% from its previous price. This price drop is attributed to the model's recursive self-optimization, which includes inference acceleration, speculative decoding, and KV caching. AI summary
Firehose
Filtered to tagged “GPT” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News · Deep dives
Browse by tag
artificial intelligence 57continual learning 24agentic coding 21open-weight models 20AI 16AI agents 13reinforcement learning 11cybersecurity 9AI safety 8finance 8language models 7large language models 7open-source 7productivity 7deep learning 6machine learning 6natural language processing 6Reinforcement learning 6tech 6Databricks 5robotics 5software development 5Agentic AI 4benchmarking 4Diffusion models 4multi-agent systems 4Recursive self-improvement 4world models 4AI ethics 3AI infrastructure 3
Researchers found that distilling a Chinese frontier model (DeepSeek V4 Flash) into a self-distilled model (CTGT 120B) does not transfer censorship, despite training on the same outputs. The self-distilled model outperformed a base model (GPT-OSS-120B) on finance-related tasks, with similar performance to a more advanced Chinese teacher model (DeepSeek V4 Flash). AI summary
Explore lower GPT‑5.6 pricing for Luna and Terra—and how OpenAI’s more efficient models help enterprises deploy AI workflows at scale.