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AntLing-2.6-1T from Ant is live: 1T parameters, with a focus on executing tasks using fewer tokens

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AIMPACT announcement, April 27 (UTC+8). According to on-chain data Beating monitoring, Ant inclusionAI has recently released Ling-2.6-1T, a new trillion-parameter flagship instruction model in the Ling series. It is positioned not for long-thought reasoning, but for precise task execution using a “Fast-Thinking” mechanism. The official says that its capabilities have been clearly upgraded 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-focused tasks in the agent era: code modifications, tool calls, complex instruction following, and frequent production-environment calls. The OpenRouter page shows that Ling-2.6-1T currently provides a free API entry, supporting a 262.1k token context window and a maximum output of 32.8k tokens. The official has also previewed that Ling-2.6-1T is about to be open-sourced. (Source: BlockBeats)
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