Simon Willison's Weblog·2 months ago·
24
● 14 sources
OpenAI cut prices for GPT-5.6 models, with Luna dropping 80% and Terra dropping 20%, using GPT-5.6 Sol to optimize inference and kernel performance. GPT-5.6 Luna now costs $0.20 per million input tokens and $1.20 per million output tokens, undercutting competitors like Google's Gemini 3.1 Flash-Lite and Anthropic's Claude Haiku 4.5. The pricing changes make Luna competitive for cost-sensitive applications, prompting developers to migrate from other models.
AgentSky is a platform that enables cloud-hosted AI agents to work with any harness and any large language model. The service appears to be launching as a general-purpose agent deployment tool without disclosed pricing or availability details. Users can now run agents across different LLM backends without being locked into a single provider or infrastructure setup.
Moonshot AI released Kimi K3, a 2.8 trillion parameter open-weight model, on July 27, 2026, and AWS published deployment guides for running it on SageMaker HyperPod and Amazon EKS. The model activates 104 billion parameters per token across 896 experts and requires p6-b300 instances with 8 NVIDIA B300 Blackwell GPUs. Organizations can now self-host one of the most capable open models using either AWS managed infrastructure or self-managed Kubernetes clusters with reserved GPU capacity.
AWS published a technical guide for monitoring machine learning model performance in production using SageMaker AI endpoints, Athena Iceberg tables, and Amazon QuickSight. The system detects data drift and model performance degradation through continuous monitoring with configurable thresholds (e.g., 20% feature drift, 0.05 ROC-AUC drop). Organizations can now identify model quality issues automatically rather than discovering them through customer complaints or manual spot checks.
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