Ling-2.6-1T
🧠 AI Modelinclusionai
Trillion-parameter agent-focused model with 262K context and efficient pricing.
Ling-2.6-1T is the flagship trillion-parameter model from inclusionAI, built as an instant (instruct) model for real-world agent applications. It features a context length of 262,144 tokens, enabling long-horizon reasoning and complex task execution. The model is optimized for fast inference and high efficiency, making it suitable for scalable agent deployments. It supports a range of inference parameters including frequency_penalty, presence_penalty, repetition_penalty, and structured outputs via response_format. Pricing is set at $0.07 per million input tokens and $0.62 per million output tokens, offering a cost-effective solution for large-scale AI agent workflows.
💡Highlights
- ├─Trillion-parameter scale
- ├─262K token context length
- └─Optimized for AI agents
🎯For
- ├─AI researchers
- ├─agent developers
- └─enterprises