Gemini
AI chatbots software
AI code generation software
Large language models (LLMs) software
AI image generators software
AI writing assistants
Generative AI software
AI coding assistants software
Synthetic media software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$19.99 per month
Free TrialFree version
Small
Medium
Large
- Healthcare and life sciences
- Education and training
- Arts, entertainment, and recreation
What is Gemini
Gemini is a family of large language models and a conversational AI product used to generate and transform text, code, and images across consumer and enterprise workflows. It supports use cases such as question answering, summarization, drafting content, software development assistance, and multimodal reasoning over text and images. Gemini is delivered through Google’s web and mobile experiences and through APIs in Google Cloud for developers building generative AI features. It differentiates through tight integration with Google’s ecosystem and availability of multiple model variants for different latency/cost needs.
Multimodal text and image support
Gemini supports multimodal inputs and outputs, enabling workflows that combine text with images (for example, describing, extracting, or reasoning about visual content). This reduces the need to stitch together separate tools for chat, writing, and image-related tasks. It is relevant for teams that need a single model family for mixed media use cases.
Multiple delivery channels
Gemini is available through end-user chat experiences and through developer APIs on Google Cloud. This allows organizations to standardize on the same underlying model family for both internal productivity and embedded product features. It also supports different deployment patterns, from ad hoc usage to application integration.
Ecosystem and workspace integration
Gemini integrates with Google’s broader product ecosystem, which can simplify adoption for organizations already using Google services. This can reduce setup time for common tasks like drafting, summarizing, and searching across content. Centralized identity and admin controls in Google environments can also streamline access management compared with standalone tools.
Output quality can vary
Like other LLM-based systems, Gemini can produce incorrect or fabricated statements and may require human review for high-stakes use cases. Performance can vary by prompt design, domain specificity, and model variant. Organizations typically need guardrails such as retrieval augmentation, validation, and policy controls to reduce risk.
Data governance requires diligence
Using Gemini in enterprise settings requires careful configuration of data handling, retention, and access controls across the relevant Google services. Teams may need to evaluate how prompts, outputs, and connected data sources are processed depending on the chosen product tier and integration method. Legal and compliance review is often necessary for regulated data.
Vendor ecosystem dependency
Deep integration with Google services can increase dependency on Google’s platform choices, pricing, and roadmap. Migrating prompts, safety policies, and application logic to another model provider can require rework. This is a consideration for buyers seeking maximum portability across model vendors.
Plan & Pricing
Tiered (consumer) plans:
| Plan | Price | Key features & notes |
|---|---|---|
| Free | $0 / month (with Google Account) | Everyday access to Gemini app: access to Gemini 2.5 Flash, limited access to 2.5 Pro, image generation (Imagen 4), 100 monthly AI credits for Flow/Whisk video generation, 15 GB Google storage. |
| Google AI Pro (aka Gemini Advanced consumer tier) | $19.99 / month | Higher access to Gemini 2.5 Pro (Deep Research on 2.5 Pro), limited Veo 3 Fast video generation, 1,000 monthly AI credits, 2 TB storage. The subscription page lists "$0 for one month" (trial) for Pro. |
| Google AI Ultra | $249.99 / month (also lists $124.99 / month for first 3 months promotional rate) | Highest access to Veo 3 video generation, Gemini 2.5 Deep Think, 25,000 monthly AI credits, top-level features and higher grounding/agent capabilities. |
Usage-based (developer / API via Google Cloud / Vertex AI):
Pricing model: Pay-as-you-go (per 1M tokens / modality).
Free tier/trial: New Google Cloud customers can receive free credits; Gemini API / Google AI Studio may have free/no-cost usage tiers in some regions (see official docs for region availability).
Example costs (select, per Vertex AI generative-ai pricing page):
- Gemini 2.5 Pro: Input (text/image/video/audio) = $1.25 per 1M tokens (<=200K input tokens); Output (text response & reasoning) = $10.00 per 1M tokens (<=200K input tokens). (Rates increase for >200K input tokens: e.g., $2.50 input, $15 output per 1M.)
- Gemini 2.5 Flash: Input (text/image/video) = $0.30 per 1M tokens; Text output = $2.50 per 1M tokens. (Audio input and image output have separate rates.)
- Gemini 2.5 Flash-Lite: Input (text/image/video) = $0.10 per 1M tokens; Text output = $0.40 per 1M tokens.
- Gemini 2.5 Flash Live API (live/streaming) example: 1M input text tokens = $0.50; 1M output text tokens = $2.00.
Grounding / grounded prompts: Some grounded prompts are included (combined daily free allowances vary by model). Excess grounded prompts are billed (example: $35 per 1,000 grounded prompts for Google Search grounding; Web Grounding for enterprise $45 per 1,000).
Discounts / other options: Context-caching discounts (explicit cache discounts noted on the pricing page), batch API discounts, and enterprise/volume arrangements via Google Cloud sales.
Notes: All usage-based/API rates and modality specifics are documented on Google Cloud's Vertex AI generative AI pricing page; feature/plan descriptions are on Gemini (gemini.google) subscription pages. Prices and available features may vary by country and are subject to change; consult the official pages for the latest region-specific details.
Seller details
Google LLC
Mountain View, CA, USA
1998
Subsidiary
https://cloud.google.com/deep-learning-vm
https://x.com/googlecloud
https://www.linkedin.com/company/google/
