# 蚂蚁发布 Ling 3.0 Tiny，7.9B 参数登智能前沿

- 来源：Artificial Analysis (@ArtificialAnlys)
- 发布时间：2026-08-12 10:51
- AIHOT 分数：73
- AIHOT 链接：https://aihot.virxact.com/items/cmspir1g304rwromisris93or
- 原文链接：https://x.com/ArtificialAnlys/status/2087371367884956099

## AI 摘要

蚂蚁集团发布开源推理模型 Ling 3.0 Tiny，在 Artificial Analysis 智能指数上得 25 分，以 7.9B 总参数和 1.3B 激活参数（MoE）扩展了智能与激活参数的帕累托前沿，性能接近 gpt-oss-120b（24 分）但参数少 15 倍。

## 正文

Ant Group has released Ling 3.0 Tiny, which scores 25 on the Artificial Analysis Intelligence Index. With just 7.9B total and 1.3B active parameters, it sits on the Pareto frontier for Intelligence vs. Active Parameters

@AntLingAGI has released Ling 3.0 Tiny, an open weights reasoning model with a 262K-token context window. It scores 25 on the Artificial Analysis Intelligence Index, comparable to gpt-oss-120b (high, 24) with 15x fewer total parameters and 4x fewer active parameters. However, this parameter efficiency comes with high token usage: Ling 3.0 Tiny used 213M output tokens to run the Intelligence Index, nearly as many as the larger Ling 3.0 Flash (240M). It follows the recent release of Ling 3.0 Flash, which scores 38 with 124B total and 5.1B active parameters. The weights are available on Hugging Face under an MIT license.

Key results:

➤ Ling 3.0 Tiny extends the open weights Pareto frontier for Intelligence vs. Active Parameters. It scores 25 on the Artificial Analysis Intelligence Index, and at 7.9B total and 1.3B active parameters, the model is small enough to run locally in many settings

➤ Ling 3.0 Tiny makes a 59-point improvement in AA-Omniscience over Ling-mini-2.0, primarily driven by improvements in hallucination rate. Ling 3.0 Tiny scores -19 with 9% accuracy and a 30% hallucination rate, similar to Qwen3.6 27B (-20), but its accuracy is relatively low among similarly sized open weights models. Compared to the previous generation, where Ling-mini-2.0 had a 96% hallucination rate, Ling 3.0 Tiny improves on hallucination while maintaining the same accuracy. Instead of guessing when it doesn't know, it attempted just 37% of questions in the AA-Omniscience evaluation.

➤ Ling 3.0 Tiny is relatively capable in tool use but performs modestly in agentic work tasks. Ling 3.0 Tiny scores 21% on τ3-Banking, ahead of Qwen3.6 27B (17%). On GDPval-AA v2, however, it reaches an Elo rating of 772, behind Nemotron 3.5 Lightning at 824 despite sitting slightly ahead on the overall Intelligence Index.

Additional model details:

➤ Size: 7.9B total parameters, 1.3B active (mixture of experts)

➤ Context window: 262K tokens

➤ License: MIT

➤ Providers: InclusionAI first-party API and @novita_labs