1M context

Reflection AI has unveiled Beam, a text-only mixture-of-experts model with 501 billion total parameters, 23 billion active, and a 1 million token context window. The company claims it matches Z.ai's GLM-5.2 on advanced reasoning benchmarks while using 3-4x less inference compute. Weights and the full technical report are due later this month.

Unbiased has listed Pareto 26.10 Preview on OpenRouter, a multimodal composite model with a 1.0M-token context window priced at $0.80 input and $3.20 output per 1M tokens. The company says it targets research, coding, and agentic workflows, and warns the preview may change without notice. No benchmark scores have been published.

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.