title: “Gemini 1.5 Flash: Google’s Response to GPT-4o?” description: “The AI race is increasingly fierce, becoming a chase game among tech giants. GPT-4o was released before Google I/O, and its multimodal (or all-modal) capabilities are astonishing, making a significant impact on the generative AI competition. However, Google is not to be outdone. During Google I/O, they announced the new Gemini and Gemma models. Among them, Gemini 1.5 Flash stands out as the most influential model. In this article, we will explore the top features of Gemini 1.5 Flash and compare it with Gemini 1.5 Pro to determine which is better.” date: 2024-07-03T09:51:46+10:00 weight: 1 language: en category: “claude” image: true imageUrl: “/images/blogs/b4fe6a84-e4f8-42e5-828f-e83a7229abff.webp” locale: en_US tags: [“gemini”] last_modified_at: 2024-07-22 —

Gemini 1.5 Flash: Google’s Response to GPT-4o?

The AI race is becoming increasingly intense, evolving into a competitive chase among tech giants. GPT-4o was released before Google I/O, and its multimodal (or all-modal) features are impressive, having a significant impact on the generative AI competition. However, Google is also making its move. During Google I/O, they announced the new Gemini and Gemma models. Among them, Gemini 1.5 Flash stands out as the most influential model. In this article, we will explore the top features of Gemini 1.5 Flash and compare it with Gemini 1.5 Pro to determine which one is better.

Pricing and Benchmarking

According to Google’s benchmark scores, Gemini 1.5 Flash outperforms all of Google’s other large language models (LLMs) in audio performance and is comparable to the upcoming Gemini 1.5 Pro (February 2024) model in other benchmarks. Although we do not recommend relying solely on benchmarks to evaluate any LLM’s performance, they help quantify performance differences and minor upgrades.

Gemini 1.5 Flash Pricing

One notable point is the cost of Gemini 1.5 Flash. Compared to GPT-4o, Gemini 1.5 Flash is more affordable.

  • Gemini Pricing
  Input Output
  $0.35 / 1 million tokens (128k down)
$0.70 / 1 million tokens (128k up)
$1.05 / 1 million tokens (128k down)
$2.10 / 1 million tokens (128k up)

  • GPT Pricing
  Input Output
  $5.00 / million tokens $15.00 / million tokens

Context Window


Like Gemini 1.5 Pro, Flash has a context window of 1 million tokens, which is larger than any OpenAI model and one of the largest context windows in production-grade LLMs. A larger context window allows for better data understanding and can improve third-party technologies (like RAG, retrieval-augmented generation) in large knowledge bases by increasing chunk sizes. Additionally, a larger context window allows for generating more text, which is useful in scenarios such as writing articles, emails, and press releases.

Multimodal Capabilities

Gemini 1.5 Flash is multimodal. Multimodal capabilities allow for input contexts in various forms, such as audio, video, and documents. Multimodal LLMs are more versatile and open up more possibilities for generative AI applications without the need for preprocessing.

Gemini 1.5 models can handle very long contexts, a scale unprecedented in contemporary large language models (LLMs), enabling them to process lengthy mixed-modal inputs, including entire document sets, hours of video, and nearly five days of audio.

Applications of Multimodality

Multimodal capabilities also allow us to use LLMs as alternatives to other specialized services, such as OCR or web scraping.

Speed

As the name suggests, Gemini 1.5 Flash is designed with responsiveness in mind. For example, in the aforementioned web scraping example, the response time is about 2.5 seconds, almost 40% faster, making Gemini 1.5 Flash a better choice for automated use or any application requiring low latency.

Conclusion

Gemini 1.5 Flash is a powerful response from Google in the AI competition. It excels in performance, cost, context window, and multimodal capabilities, making it an ideal choice for generative AI applications. For businesses, choosing Gemini 1.5 Flash can lead to higher efficiency and better user experience.

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