# Ant Baili Open-Sources Trillion-Parameter Flagship Model Ling-2.6-1T

- Category: Flash (快讯)
- Published: 2026-04-30T11:58:00.000Z
- Source date: 2026-04-30
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Ant Baili has officially open-sourced Ling-2.6-1T, a trillion-parameter comprehensive flagship model. Utilizing a hybrid architecture of MLA and Linear Attention, it achieves high intelligence efficiency with minimal token consumption, matching the comprehensive intelligence of GPT-5.4 (Non-Reasoning). The model attains open-source state-of-the-art results on execution benchmarks like AIME26, SWE-bench Verified, and BFCL-V4, demonstrating robust capabilities in agent execution, code generation,

## At a glance

- Ling-2.6-1T uses a hybrid architecture for high efficiency, matching GPT-5.4 intelligence
- Achieves open-source SOTA on execution benchmarks like AIME26 with strong agent and coding skills

## The update

The Ant Baili large model team has officially open-sourced its latest trillion-parameter comprehensive flagship model, Ling-2.6-1T, designed to handle various complex tasks. The model innovatively adopts a hybrid architecture combining MLA and Linear Attention, achieving a high intelligence-to-efficiency ratio while significantly reducing token consumption. In terms of comprehensive intelligence, Ling-2.6-1T matches the level of GPT-5.4 (Non-Reasoning version). The model excels in multiple key execution benchmarks, achieving state-of-the-art results in the open-source community on lists such as AIME26, SWE-bench Verified, and BFCL-V4. This confirms that Ling-2.6-1T possesses strong practical application capabilities in agent execution, automatic code generation, and long-context understanding, providing developers with a high-performance open-source option.

## Sources

- [百灵大模型](https://mp.weixin.qq.com/s/gnQm00GP9E8r9WocTP7rJg) (2026-04-30)

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