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On October 28, 2026, Beijing-based large model startup Chaoyan Intelligence released and open-sourced its first large model, Apex-35B-V1.0. According to a report by Zhidongxi, the model has a total parameter count of 35 billion, activates approximately 3 billion parameters per token, supports a 262,000-token context window, and is optimized through mid-training and post-training based on Qwen3.6-35B-A3B. In testing, Apex-35B-V1.0 scored 60.9 and 40.0 on PaperBench and FrontierScience, respectively, higher than GLM-5.3's 42.5 and 30.7; it scored 84.0 on BFCL V4, higher than DeepSeek-V4.1-Flash-1017's 75.0. The model has been released with open weights under the Apache 2.0 license, with official provision of approximately 72GB BF16 weights and GGUF quantized versions at different precisions. No further developments have been disclosed at present.
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Chaoyan Intelligence Open-Sources 35B Model Apex-35B-V1.0, with AI Participating in Its Own R&DDevelopments
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Oct 29
Zhidongxi
Chaoyan Intelligence Open-Sources 35B Model Apex-35B-V1.0, with AI Participating in Its Own R&D
Beijing-based large model startup Chaoyan Intelligence has released and open-sourced its first large model, Apex-35B-V1.0, with 35 billion total parameters, approximately 3 billion parameters activated per token, and support for a 262,000-token context window, optimized through mid-training and post-training based on Qwen3.6-35B-A3B. The model scored 60.9 and 40.0 on the paper reproduction test PaperBench and the scientific research challenge test FrontierScience, respectively, higher than GLM-5.3's 42.5 and 30.7; it scored 84.0 on the tool-calling test BFCL V4, higher than DeepSeek-V4.1-Flash-1017's 75.0. The model has been released with open weights under the Apache 2.0 license, and the official release provides approximately 72GB of BF16 weights and GGUF quantized versions at various precisions.