1M context

OpenAI has released GPT-5.6 Luna, a fast and cost-efficient model in its GPT-5.6 series. The model features a 1 million token context window and is priced at $1 per 1M input tokens and $6 per 1M output tokens, with a knowledge cutoff of February 2026.

Sakana AI has released Fugu Ultra, a multi-agent orchestration system that routes tasks across pools of underlying models rather than operating as a single monolithic model. The system supports a 1M token context window and is priced at $5 per million input tokens and $30 per million output tokens.

Nvidia has released Nemotron 3 Ultra, a 550-billion parameter mixture-of-experts model with 55 billion active parameters and support for up to 1 million token context windows. The model uses a hybrid Transformer-Mamba architecture and is designed specifically for long-running agentic workflows including agent orchestration, coding agents, and complex enterprise tasks.

NVIDIA Nemotron 3 Ultra is now available on Amazon SageMaker JumpStart with 550 billion total parameters and 55 billion active parameters. The model features a hybrid Transformer-Mamba Mixture-of-Experts architecture and supports context windows up to 1 million tokens, targeting agentic AI workloads.