Google delays Gemini 3.5 Pro launch to July as AI model undergoes further testing

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Google has reportedly pushed back the launch of Gemini 3.5 Pro from June to July. The delay follows feedback from early testers of Gemini 3.5 Flash, which revealed issues with token consumption that could increase costs for developers. The company is refining the advanced AI model to improve real-world performance before its public release.

Google Postpones Gemini 3.5 Pro Launch to Address Testing Concerns

Google has reportedly delayed the launch of Gemini 3.5 Pro, its next advanced AI model, from June to July. According to a Business Insider report, the Gemini 3.5 Pro launch delay stems from the company's decision to collect more feedback from early testers and implement changes based on their experience

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. The tech giant first announced the AI model during its Google I/O developer conference in May, where CEO Sundar Pichai indicated a June release. However, Google has not officially confirmed the postponement

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Source: Digit

Source: Digit

The delay arrives at a critical moment as competition intensifies in the AI industry. Companies like OpenAI and Anthropic continue launching powerful models, particularly for coding tasks, which have become essential for businesses

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. The extra development time could allow Google to deliver a more polished product that meets the demands of developers and enterprises relying on AI for software development and data analysis workflows.

Token Consumption Issues Drive Further Testing

Google is reportedly using feedback from Gemini 3.5 Flash while developing the Pro model. The company launched Gemini 3.5 Flash as the first model in the new series, describing it as built for coding, AI agents and complex workflows

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. However, some users reported that Flash consumed tokens too quickly, which could raise costs when handling long prompts or completing extended tasks .

Source: Analytics Insight

Source: Analytics Insight

Token consumption affects how much text a model processes and generates. Higher usage can increase costs for developers and companies that run large numbers of AI requests . Google is reportedly examining this issue while preparing Gemini 3.5 Pro, suggesting the company wants to ensure better real-world performance before the model reaches a wider audience. One of the main complaints about Flash 3.5 was precisely this rapid token usage, making cost efficiency a priority for the upcoming release

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Enhanced Capabilities for Long and Complex Tasks

Gemini 3.5 Pro is expected to offer greater computing power for demanding tasks and improved performance on long and complex tasks

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. The upcoming model is designed to improve long-horizon work, which requires an AI system to plan, use tools and maintain context over several stages. These tasks include software development, data analysis and automated business processes

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Google has not published full technical details or benchmark results for Gemini 3.5 Pro. Claims about its speed, efficiency and coding performance will remain unverified until Google releases official testing data or gives users wider access

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. The company's cautious approach suggests it aims to avoid a problematic launch that could damage its competitive position in the rapidly evolving AI landscape.

What to Watch For

While Google refines Gemini 3.5 Pro, the company continues advancing its AI portfolio. Google introduced Gemma 4 12B earlier this month, describing it as a "unified transformer" designed to bring agentic multimodal intelligence directly to laptops. The model can run locally on devices with just 16GB of RAM or VRAM and features native audio input support

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. This release demonstrates Google's multi-pronged strategy, targeting both cloud-based enterprise solutions and on-device AI capabilities. As July approaches, developers and businesses should monitor whether Google can deliver on the promised improvements while maintaining competitive pricing and performance against rivals in coding tasks and enterprise workflows.

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