Google slashes prices for Gemini 1.5 Flash, intensifying AI competition
Google has made a bold move in the AI market. The tech giant has cut prices for its Gemini 1.5 Flash model by up to 78%. This significant reduction applies to both input and output token costs.
The price drop makes Gemini 1.5 Flash more accessible to developers and businesses. Input token costs are now $0.075 per million tokens, down 78%. Output token costs have decreased by 71% to $0.30 per million tokens for shorter prompts.
These changes affect prompts under 128,000 tokens. Similar reductions apply to longer prompts and caching. Google says Gemini 1.5 Flash is popular for tasks needing speed and low latency, like summarization and categorization.
Google has also improved PDF understanding in the Gemini API and AI Studio. The model now analyzes both text and images in PDFs. This upgrade uses built-in multimodal processing for PDFs with visual content.
Broader language options and custom model tuning
Google has widened language support for its Gemini 1.5 Pro and Flash models. You can now use these AI tools in over 100 languages. This change helps you work with the models in your preferred tongue.
The company has also opened up fine-tuning for Gemini 1.5 Flash to all developers. You can access this feature through the Gemini API and Google AI Studio. Fine-tuning lets you tailor the base models to your needs.
You can improve how they perform on specific tasks by feeding them extra data.
This update brings some key benefits:
• Smaller prompt context
• Lower latency
• Reduced costs
• Higher model accuracy
These changes come as AI companies compete on pricing. Google’s move follows OpenAI’s recent price cuts for its GPT-4 API. It seems AI providers are locked in a price war, despite the high costs of running these advanced models.
Common questions about Gemini 1.5 Flash updates
What’s new in the latest Gemini version?
Google has added exciting features to Gemini 1.5 Flash.
The model now has improved PDF handling capabilities. You can now work with both text and images from PDFs using Gemini’s built-in multimodal abilities. This makes it easier to extract and analyze information from PDF documents.
How does the price cut affect current users?
The price drop for Gemini 1.5 Flash is good news for all users. Google has cut prices by over 70%. This means you’ll pay much less for the same high-quality service. Existing customers will see lower bills, while new users can try the service at a more affordable rate.
What’s changed with PDF handling in Gemini?
Gemini now offers better PDF support. The system can understand both text and images in PDFs. This is thanks to its multimodal skills. You can now extract data, analyze content, and work with PDFs more easily within the Gemini API and AI Studio.
Why did Google lower Gemini 1.5 Flash prices?
Google likely cut prices to stay competitive and attract more users. The AI market is growing fast, and many companies are vying for customers. By making Gemini 1.5 Flash more affordable, Google aims to encourage more developers and businesses to use their platform.
How do the new prices stack up against rivals?
The updated pricing makes Gemini 1.5 Flash very competitive. For instance, it now costs just 7.5 cents per million tokens for prompts under 128,000 tokens.
This puts it among the most affordable options in the market for high-quality AI models. You’ll need to compare specific use cases to see how it measures up for your needs.
What does this price cut mean for cloud storage?
While Gemini 1.5 Flash isn’t directly related to cloud storage, the price cut could impact the broader market. As AI services become cheaper, demand for cloud storage and computing power may increase.
Companies might invest more in AI projects, leading to greater need for data storage and processing. This could drive innovation and competition in the cloud storage sector.
