Ling 3.0 Flash

Ling-2.6-1T is inclusionAI’s trillion-parameter flagship instruct model for real-world agents. It is positioned for fast execution, high efficiency at scale, advanced coding, complex reasoning, and large-scale agent workflows, using a “fast thinking” approach to cut cost while keeping top-tier performance.

Ling-2.6-Flash is Ant Ling’s high-efficiency instruct language model, built for strong real-agent performance with lower token usage and lower deployment cost. From the launch post in your screenshot, it has 104B total parameters with 7.4B active parameters and is positioned for better throughput, lower cost, and more efficient large-scale deployment

Ling 1T is the flagship model in the Ling family. It targets high-accuracy reasoning, coding, and multilingual work, with long-context support, tool and function calling, and clean JSON outputs. Built for enterprise copilots, RAG, and agent workflows where reliability matters.

ReRank 4 is Cohere's latest cross-encoder reranking model for enterprise search and RAG, with 32K token context, Fast and Pro tiers, and self-learning to adapt relevance while reordering retrieved documents by semantic similarity.

A 4B parameter instruction-tuned language model created via pre-training distillation from the Apertus-8B teacher model. Uses a dense transformer decoder with grouped-query attention and xIELU activations, trained on 1.7T tokens. Natively supports 1811 languages with quantized checkpoints available for mobile and edge deployment. Apache-2.0 licensed.

Grok 4.3 is xAI’s flagship large language model for high-end reasoning, coding, and agentic workflows. xAI positions it as its most truth-seeking model, with a 1,000,000-token context window and support across the broader xAI API stack for tools, reasoning, and advanced integrations.