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Русский(RU) Китайская лаборатория показала: 35-миллиардная модель Agents-A1 сравнялась по агентным задачам с триллионниками: агентный ии

Shanghai AI Lab releases 35B Agents-A1 model for agentic AI tasks

By PulseAugur Editorial · [1 sources] ·

Shanghai Artificial Intelligence Laboratory has released Agents-A1, a 35-billion parameter Mixture-of-Experts model built on Qwen3.5-35B-A3B. The model, available under the Apache 2.0 license, is designed for complex, multi-step agentic AI tasks. Developers claim it performs comparably to models with trillions of parameters on specific agent benchmarks, focusing on extending the "task horizon" rather than sheer parameter count. The release includes code for evaluation and supports commercial use, with quantized versions and compatibility with vLLM and SGLang for inference. AI

IMPACT This release offers a powerful open-source option for complex agentic AI tasks, potentially lowering the barrier for sophisticated AI applications.

RANK_REASON The cluster reports on the release of a new frontier model by a major AI lab, including its technical specifications and claimed performance. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Shanghai AI Lab releases 35B Agents-A1 model for agentic AI tasks

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Signal score
0 / 100
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Significant
The cluster reports on the release of a new frontier model by a major AI lab, including its technical specifications and claimed performance. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
Clearly on-topic for AI-industry coverage.
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69 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 Русский(RU) · Promptra Team ·

    Chinese Lab Showed: 35 Billion Model Agents-A1 Matched Trillion-Parameter Models on Agent Tasks: Agent AI

    <p>Если ты гонял локальные модели на задачах вида «зайди в файлы, вызови три инструмента, собери отчёт и не соврись на шестом шаге», ты знаешь этот момент: модель на 7-14B красиво отвечает на один вопрос, но разваливается на длинной цепочке. А то, что не разваливается, весит стол…

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