Ants Ling-2.6-1T launches: 1T parameters with a focus on executing tasks with fewer tokens

AIMPACT news, April 27 (UTC+8), according to AiMazing Beating monitoring, Ant inclusionAI has recently released Ling-2.6-1T—this is a new trillion-parameter flagship instruction model in the Ling series. It is positioned not for long-form thinking and reasoning, but for precise task execution using a “Fast-Thinking” mechanism. The official says that in terms of capability it has a clear upgrade compared with Ling-1T; overall intelligence is close to GPT-5.4 in non-reasoning mode, but it outputs fewer tokens, treating token efficiency as a core metric. This means it is targeting execution-oriented tasks in the agent era: code modifications, tool calls, complex instruction following, and frequent production-environment usage. The OpenRouter page shows that Ling-2.6-1T currently provides a free API entry, supporting 262.1k token context, with a maximum output of 32.8k tokens. The official has also announced that Ling-2.6-1T is about to be open-sourced. (Source: BlockBeats)
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