B.AI Integrates Google DeepMind's Gemini 1.5 Flash Model via API

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On September 4, B.AI added Google DeepMind's Gemini 1.5 Flash model to its API, according to ChainCatcher. The model supports 1 million tokens and native multimodal input, offering faster response times and enhanced performance in software engineering and professional domains such as finance and law. On-chain data indicates growing interest in AI-powered tools, while the Fear & Greed Index remains in neutral territory.

ChainCatcher report: On September 4, the B.AI platform announced that Google DeepMind’s latest Gemini 3.8 Flash model has been officially integrated into its API. This model is the newest flagship in the Gemini 3 family, supporting a 1M token context window and native multimodal inputs. According to the platform, Gemini 3.8 Flash enhances performance in software engineering, agent tasks, and multi-step reasoning in specialized domains, while maintaining the low-latency characteristics of the Flash series. It also demonstrates strong capabilities in professional fields such as finance and law, making it well-suited for complex reasoning and long-term agent workflows. Official API access is now available.

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