Google Gemini Statistics: Key Insights and Trends [2025]

Google Gemini attracts millions of users globally. Let’s review its performance in several key usage trends.

There were 284.1 million monthly visits in February 2025

In February 2025, Google Gemini statistics showed 193.3 million visits on desktop and 90.83 million visits on mobile. Visits peaked this month with 284.1 million total (a 6.14% increase from January 2025).

However, mobile traffic has been declining in recent months. Specifically, there were only 81.72 million mobile visits in January 2025, a 9.88% decrease from 90.69 million mobile visits in December 2024.

In the Claude vs Google Gemini vs ChatGPT comparison, the latter dominates in total visits. In February 2025, ChatGPT had an impressive 3.9 billion total visits. It significantly outpaced Google Gemini’s 284.1 million. Meanwhile, Claude recorded 73 million.

Google Gemini attracted 67.29 million unique visitors in February 2025

In January 2025, the platform had 62.91 million unique visitors overall. There was a slight increase, with unique visitors raising to 67.29 million by April.

Gemini number of users on desktop started at 36.33 million in December 2024 and increased slightly to 40.35 million in February 2025. Meanwhile, mobile unique visitors dropped from 27.33 million to 26.94 million over the same period.

The bounce rate on mobile increased to 44.78% in Fabruary 2025

Google Gemini statistics by month show a relatively stable bounce rate with slight fluctuations. In January 2025, the desktop bounce rate was 30.63%. The value decreased slightly to 27.1% by February 2025. The mobile indicator saw a minor decrease from 45.05% in January to 44.78% in February.

Google Gemini’s traffic distribution shows significant engagement. It spans across various regions, age groups, and marketing channels.

The United States was the top traffic source for Google Gemini in February 2025

As of February 2025, the United States led the traffic sources for Google Gemini with 17.54%. India followed with 9.04%, Indonesia – with 5.25%, Brazil – with 4.48%, and Vietnam – 4.36%. The rest of the world contributed 59.33% of the traffic.

The largest age group of Google Gemini users is 25-34. It makes up 29.7% of the audience

Google Gemini statistics highlight that the 25-34 age group is the most significant demographic. It comprises 29.7% of the audience. The 18-24 age group follows with 21.23%, while the 35-44 group accounts for 19.43%. Smaller segments include the 45-54 group at 14.24%, the 55-64 group at 9.51%, and users aged 65 and above at 5.89%.

Male users represent 57.98% of Google Gemini’s audience

Gender distribution data indicates that male users dominate the platform. This segment made up 57.98% of the audience. Meanwhile, the female counterparts constitute 42.02%.

Direct traffic to Google Gemini peaked at 208.8 million in February 2025

Direct traffic peaked at 208.8 million in February 2025, up from 189.6 million in December 2024. Social media traffic experienced a drop, with a 3.72% decrease from December to February. Organic search traffic grew by 6.04%, while email traffic showed a rapid increase of 20.38%. Similarly, display ads traffic increased by 136% over the same period.

Let’s explore Google Gemini’s cost structure and compare it with other language models.

Gemini 1.5 Flash offers the most cost-effective performance among advanced AI models, with $0.07 (input) and $0.3 (output) per million tokens

Artificial Analysis has carried out research regarding input and output prices. The former implies the cost per token included in the request sent to the API, and the latter – from the API.

Google Gemini statistics indicate that the Gemini 1.5 Flash value is $0.07 per million input or $0.3 per million output tokens. It is a cost-effective option, especially when compared to other models.

For instance, Gemini 1.5 Pro is priced at $1.25 per million input or $5 per million output tokens. On the higher end, GPT-4o costs $2.5 per million input tokens and $10 per million output ones. Claude 3.7 Sonnet is the most expensive, with $3 for input and $15 for output tokens.

Source: Artificial Analysis

Is Google Gemini better than ChatGPT? How does it compare to other language models regarding performance and capabilities? To answer these questions, let’s review Google Gemini statistics below. We’ll focus on the training data, context window, and benchmark performances.

The LaMDA model used in the former version, Google Bard, was trained on the Infinite dataset containing 1.56 trillion words and 137 billion parameters

This massive dataset only required 750 GB of storage. It comprises 12.5% of C4-based data and an equal percentage of code documents from programming tutorials, Q&A websites, and others. Additionally, it includes 6.5% of English web documents and 6.5% of non-English web documents.

Gemini 1.5 Pro boasts a context window of up to two million tokens, the longest of any large-scale foundation model

Gemini 1.5 Pro and 1.5 Flash both have a default context window of up to one million tokens. Thus, these models enable near-perfect recall on long-context retrieval tasks across many formats. The latter include long documents, lines of code, audio, video, and more. For 1.5 Pro, developers and enterprise customers can sign up to try a two-million-token context window.

Comparing the Artificial Analysis Intelligence Index, o3-mini and Grok 3 Reasoning scores the highest at 66, while Gemini 2.0 Flash scores 48

Artificial Analysis has administered the evaluation that incorporated 7 evaluations spanning reasoning, knowledge, math & coding. Let’s review the data in more detail.