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@@ -34,7 +34,7 @@ Together, these designs target three goals:
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  # Evaluation
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- We evaluated Ling-3.0-tiny across general agent tasks, coding agents, code generation, long-context understanding, knowledge reliability, mathematical and scientific reasoning, and instruction following.
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  Ling-3.0-tiny scores **25** on the Artificial Analysis Intelligence Index v4.1.1 and **16** on the Artificial Analysis Agentic Index. In Artificial Analysis testing, the model achieves an output speed of more than **160 tokens/s** and an end-to-end latency of approximately **18 seconds** for generating 500 tokens (including the reasoning model's thinking time), reflecting a balance among overall capability, activated parameter scale, and response efficiency.
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  ![](https://intranetproxy.alipay.com/skylark/lark/0/2026/png/202156655/1786334509742-e888d58f-c9af-44d0-a64a-a9b6ba0cb652.png)
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  # Evaluation
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+ We evaluated Ling-3.0-tiny across general agentic tasks, coding tasks, long-context understanding, knowledge reliability, mathematical and scientific reasoning, and instruction following.
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  Ling-3.0-tiny scores **25** on the Artificial Analysis Intelligence Index v4.1.1 and **16** on the Artificial Analysis Agentic Index. In Artificial Analysis testing, the model achieves an output speed of more than **160 tokens/s** and an end-to-end latency of approximately **18 seconds** for generating 500 tokens (including the reasoning model's thinking time), reflecting a balance among overall capability, activated parameter scale, and response efficiency.
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