The all-in-one AGI infrastructure platform B.AI announces that the latest open-source Qwen3.8-Flash model from Alibaba’s Tongyi Qianwen has officially launched on the platform, with full free access available via the official B.AI API group. As a forward-looking preview of the Qwen4 architecture, Qwen3.8-Flash is a multimodal MoE model featuring 125B total parameters and 51B N-gram embeddings, activating only 6B parameters per token. The model integrates GDN and QSA hybrid attention mechanisms for the first time, balancing efficiency in long-text processing with precision in information retrieval. It natively supports up to 262K context length and can be extended to 1M via YaRN. Starting today, developers can access this model at zero cost through the official B.AI API group, effortlessly enabling multimodal tasks such as code assistance, agent workflows, and document analysis. B.AI continues to lower the barrier to AI adoption by providing accessible computing power, enabling more developers to leverage cutting-edge open-source models.
Qwen3.8-Flash is available on B.AI with free API access
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Summary
B.AI has launched Qwen3.8-Flash, a 125B-parameter multimodal MoE model from Alibaba, offering free API access. The model supports a 262K context length and scales up to 1M via YaRN, utilizing a hybrid attention mechanism. Developers can now leverage it for coding, agent workflows, and document analysis. On-chain analysis reveals growing demand for AI tools in crypto. The Fear & Greed Index remains neutral as the market monitors emerging adoption trends.
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