Gemini 2026: 900M+ Users, Gemini 3.1 Pro, 94.3% GPQA
Last updated: 2026-06-17
Gemini by Google has 900M+ monthly users. Gemini 3.1 Pro scores 94.3% on GPQA Diamond with a 1M-token context. Plans run free to $42/mo Ultra or $19.99/mo Pro.
Gemini is Google's AI model family, reaching over 900 million monthly active users by Google I/O in May 2026, up from 750 million in Q4 2025. Gemini 3.1 Pro, released in preview on February 19, 2026, scores 94.3% on GPQA Diamond — the highest ever recorded on that benchmark — and 77.1% on ARC-AGI-2, more than double Gemini 3 Pro's 31.1%. Plans range from a free tier on Google AI Studio to Google AI Pro at $19.99/month and Google AI Ultra at $124.99 per quarter (about $42/month).
About Gemini
Gemini is Google's advanced family of multimodal generative AI models designed to understand and generate text, images, audio, and video. The flagship Gemini 3 Pro introduces industry-leading reasoning capabilities with a 1 million token context window, enabling processing of entire codebases, lengthy documents, and hour-long videos in a single interaction. Available across web, mobile, Workspace apps, and developer APIs, Gemini excels at complex reasoning, code generation, content creation, and multimodal analysis. The model family includes variants from Gemini 3 Pro (flagship) down to Gemini 2.5 Flash-Lite (cost-efficient), serving everyone from individual users to large enterprises. Gemini integrates deeply with Google's suite including Gmail, Drive, Docs, Sheets, and Search, providing AI assistance throughout daily workflows. The architecture processes all modalities (text, images, audio, video) in a single unified model without tool-switching, which reduces latency and improves cross-modal reasoning compared to pipeline-based approaches like early GPT-4V integrations. The model family serves software developers via Gemini Code Assist (VS Code and JetBrains plugins), enterprise teams via Vertex AI, and individual users via the Gemini web and mobile apps. Personal Intelligence, launched April 2026, connects the assistant directly to Google Photos so users can ask questions about their own photo library and generate personalized images without complex prompting. Gemini is free via Google AI Studio (100 AI credits/month). Google AI Pro costs $19.99/month (1,000 credits, Gemini 3 access). Google AI Ultra costs $124.99/quarter ($42/month equivalent), providing 25,000 credits and priority throughput. API pricing ranges from $0.10 to $2.00 per 1M input tokens depending on model and context length. The platform runs on web and mobile (iOS and Android); there are no native Windows or Mac desktop applications. In May 2026, Google released a comprehensive redesign of the Gemini app, featuring a fully rebuilt user interface focused on simplified navigation and faster access to advanced capabilities including Deep Research, Canvas, and model-switching. The redesign marks the first major visual overhaul since the app's 2023 launch and ships alongside the expanded Personal Intelligence rollout to Google Photos.
Screenshots
Pricing
Free tier (Gemini 2.5 Flash) with 100 AI credits/month via Google AI Studio. Personal: Google AI Pro $19.99/month (1,000 credits, Gemini 3 access) or Google AI Ultra $124.99/quarter ($42/month, max capabilities, 25,000 credits). API pricing ranges $0.10-$2.00 per 1M input tokens and $0.40-$18.00 per 1M output tokens depending on model and context length. Batch processing offers 50% discount. Context caching saves 90% on repeated content.
Feature Comparison by Tier
| Feature | Free Tier | Google AI Pro | Google AI Ultra | Gemini 3.1 Pro API |
|---|---|---|---|---|
| Context window | Unlimited queries* | 1M tokens | 1M tokens | 1,048,576 |
| Thinking/Reasoning | — | ✓ Basic | ✓ DeepThink | ✓ Full |
| Multimodal input | Text, images | Text, images, audio, video | Text, images, audio, video | Text, images, audio, video, PDFs |
| Google Search grounding | — | $14-35 per 1K queries | $14-35 per 1K queries | $14-35 per 1K queries |
| Personal Intelligence (Google Photos) | — | ✓ | ✓ | — |
| Gemini Spark (autonomous agent) | — | — | ✓ 24/7 | — |
| Canvas (iterative editing) | — | ✓ | ✓ | — |
| Rate limits | 15 RPM, ~100-1000 RPD | Higher via Workspace | Priority throughput | Per-model rates |
Key Features
- Massive Context Window: 1 million token input window (up to 2 million for some tiers) enabling processing of entire codebases, lengthy documents, and hours of video without context limitations.
- Native Multimodal Understanding: Unified architecture processing text, images, audio, and video simultaneously without separate tools, with natively multimodal reasoning across all modalities.
- Deep Reasoning and Thinking Levels: Controllable internal reasoning via thinking_level parameter (low/medium/high) for trading latency against response quality and analytical depth.
- Gemini 3.1 Flash Image & 3 Pro Image Now GA: Google's native visual models — Gemini 3.1 Flash Image (fast generation) and Gemini 3 Pro Image (high-quality output) — are now generally available via the Gemini API, replacing experimental-tier access. Gemini 3.5 Flash is also now the default model in Google Workspace Enterprise.
- Real-time Search Grounding: Built-in Google Search integration for accessing current information beyond the knowledge cutoff, with accurate fact verification and inline citations at $14-35 per 1,000 queries.
- Gemma 4 Open-Source Models: Google's Gemma 4 family (released April 2026) includes a 26B parameter MoE model with 256K context window and native vision, freely available for local and cloud deployment.
- Personal Intelligence with Google Photos: Rolled out April 2026: Gemini's Personal Intelligence mode accesses your Google Photos library to answer questions and generate personalized images based on your private photo context, with no complex prompting required.
- Gemini Omni and Gemini Spark: Gemini Omni (May 2026) enables any-input-to-any-output generation starting with native video; Gemini Spark is a 24/7 autonomous agent that manages Gmail, Docs, and Workspace tasks on your behalf.
- Gemini Code Assist (Enterprise Only from June 2026): Gemini Code Assist IDE Extensions stopped serving requests for individual, Google AI Pro, and Google AI Ultra subscribers on June 18, 2026. Code Assist is now limited to Workspace Business and Enterprise plans — individual developers should migrate to Google AI Studio or another tier.
Pros
- Massive 1M+ token context window processing entire documents and codebases in single requests
- True native multimodality with unified text-image-audio-video understanding without tool-switching
- Superior Google Workspace ecosystem integration across Gmail, Docs, Drive, Sheets with permission-respecting access
- State-of-the-art benchmark performance on MMLU (92.4%), HumanEval (89.7%), MATH (78.3%), and complex reasoning
- Enterprise-grade security with SOC 2/3, ISO 42001, FedRAMP High, HIPAA compliance certifications
Cons
- Higher pricing for Pro tiers ($2-4 input/$12-18 output per 1M tokens) compared to budget alternatives
- Tight safety guardrails sometimes causing overly conservative outputs or refusals on non-controversial content
- Context understanding and instruction-following inconsistencies requiring multiple attempts for complex prompts
- Weaker image generation capabilities compared to specialized models like DALL-E or Midjourney
- Output token costs scale significantly (2-3x) beyond 200K token context threshold for Pro models
Product Information
- Cloud
- Yes
- Self-Hosted
- No
- On-Premise
- No
- Languages
- English, Spanish, French, German, Italian, Portuguese, Japanese, Korean, Chinese (Simplified), Hindi
- Training
- Official documentation (ai.google.dev), Video tutorials and demos, Community Discord and forums, Google Cloud training courses, In-app onboarding and tips
Frequently Asked Questions
What is Gemini and who built it?
Gemini is Google's family of multimodal AI models, with the Gemini brand launched in December 2023 as the successor to Bard. By Google I/O in May 2026, the Gemini app had surpassed 900 million monthly active users, up from 750 million in Q4 2025 and 350 million in April 2025, making it one of the fastest-growing AI products on the market. The latest model, Gemini 3.1 Pro, entered preview on February 19, 2026, with a 1,048,576-token input context window and 65,536-token output capacity, and scores 94.3% on GPQA Diamond — the highest ever recorded on that benchmark — and 77.1% on ARC-AGI-2. Gemini also powers Google Search's AI Overviews, which reach 2 billion monthly users across 200+ countries, and Gemini Enterprise paid seats grew 40% quarter-on-quarter in Q1 2026.
How much does Gemini cost?
Gemini's consumer pricing has three main tiers. The free tier, available via the Gemini app and Google AI Studio, includes Gemini 2.5/3 Flash with daily request limits (around 15 requests per minute and roughly 100-1,000 requests per day depending on the model). Google AI Pro costs $19.99/month and includes 1,000 AI credits plus unlimited Gemini access inside Workspace apps like Docs and Gmail. Google AI Ultra costs $124.99 per 3 months (about $42/month), includes 25,000 AI credits monthly, priority throughput, Gemini 3.1 Pro with DeepThink reasoning, and YouTube Premium. On the API, pricing ranges from about $0.10 to $2.00 per million input tokens and $0.40 to $18.00 per million output tokens depending on the model, with batch processing offering a 50% discount and context caching saving up to 90% on repeated content.
What does Gemini do that competitors don't?
Gemini 3.1 Pro's standout capability is its 1,048,576-token input context window combined with native multimodal understanding of text, images, audio, video, PDFs, and entire code repositories in a single request. It scores 94.3% on GPQA Diamond, the highest score ever reported on that graduate-level science benchmark, and 77.1% on ARC-AGI-2, more than double Gemini 3 Pro's 31.1%. Gemini is the only major assistant with built-in Google Search grounding for real-time fact verification with inline citations, and its Personal Intelligence mode (April 2026) can access a user's Google Photos library to answer questions and generate personalized images. Gemini Spark, introduced in May 2026, is a 24/7 autonomous agent that manages Gmail, Docs, and Workspace tasks, and Gemini Omni enables any-input-to-any-output generation starting with native video. Google also offers Gemma 4, an open-weight 26B-parameter MoE model with a 256K context window, for free local or cloud deployment.
How does Gemini compare to ChatGPT and Claude?
Gemini leads on raw context window size and multimodal breadth, with a 1,048,576-token input window and native processing of text, images, audio, and video in one request, versus 1 million tokens for ChatGPT's GPT-5.5 API and Claude's Max plans. On benchmarks, Gemini 3.1 Pro's 94.3% GPQA Diamond score is the highest recorded, ahead of Claude Opus 4.8's 93.6%. ChatGPT still leads on raw scale with 900 million weekly users versus Gemini's 900 million monthly users, and Claude leads on coding-specific benchmarks like SWE-Bench Pro. Gemini's free tier (via Google AI Studio and the Gemini app) is more generous for casual use than ChatGPT's ad-supported free tier, and Gemini's $19.99/month AI Pro plan undercuts both ChatGPT Plus and Claude Pro at $20/month while bundling unlimited Gemini access across Google Workspace apps.
Is Gemini free / does it have a free tier?
Yes, Gemini has a free tier available through the Gemini app and Google AI Studio, offering access to Gemini 2.5/3 Flash models with daily limits of roughly 15 requests per minute and 100-1,000 requests per day depending on the model, at no cost ($0 input/output/cached token pricing). The free tier does not include Gemini 3.1 Pro, DeepThink reasoning, or the full 25,000 monthly AI credits available on paid plans. For broader access, Google AI Pro costs $19.99/month with 1,000 AI credits and unlimited Gemini access within Workspace apps, while Google AI Ultra costs $124.99 per 3 months (about $42/month) for Gemini 3.1 Pro, DeepThink, 25,000 credits, priority throughput, and YouTube Premium.
Who is Gemini best for / who should avoid it?
Gemini is best for users already inside the Google ecosystem — Gmail, Docs, Drive, Photos, and Workspace — since Google AI Pro and Ultra bundle unlimited Gemini access across those apps and Personal Intelligence mode can draw on a user's Google Photos library. Developers working with very large inputs (entire codebases, long videos, or multi-document research) benefit from Gemini 3.1 Pro's 1,048,576-token context window and 94.3% GPQA Diamond score. Users who need the broadest third-party plugin ecosystem or the largest standalone chatbot community may prefer ChatGPT, which has roughly 900 million weekly active users compared to Gemini's 900 million monthly. Teams whose top priority is coding-agent depth and terminal-native workflows may prefer Claude Code, which scores higher on SWE-Bench Pro than Gemini 3.1 Pro.
Does the Gemini app let you switch between models, and what is Gemini Spark?
On the Gemini web app, users can switch between Fast, Thinking, and Pro model tiers, and any model selected on the web is reflected in the mobile app. However, a known 2026 bug prevents many mobile app users from registering taps on the model-selection icons, leaving them stuck on the basic Fast model; switching models on the web version first, or reinstalling the app, are the common workarounds. Gemini Spark, introduced in May 2026, is a 24/7 autonomous agent available on Google AI Ultra that manages Gmail, Docs, and Workspace tasks on the user's behalf without step-by-step prompting. Gemini Omni, also from May 2026, supports any-input-to-any-output generation starting with native video generation. The May 2026 app redesign reorganized navigation to cut tap-depth to Deep Research, Canvas, and model-switching by roughly half.
Is Gemini's data secure and what compliance certifications does it have?
Gemini holds a broad set of enterprise compliance certifications as part of Google Cloud: SOC 1/2/3, ISO 9001, ISO/IEC 27001, ISO 27017, ISO 27018, ISO 27701, ISO 42001 (AI management systems), FedRAMP High, BSI C5, and is HIPAA-eligible on qualifying Workspace and Cloud plans. Gemini is trained on publicly available data with Google-Extended controls that let website owners opt their content out of training via robots.txt. As a Google subsidiary, Gemini does not disclose separate funding figures since it is funded internally by Google/Alphabet. For regulated workloads, Google Workspace and Google Cloud customers can configure data residency, retention, and access controls through the Google Cloud console, and Gemini Enterprise plans include admin-level data governance controls suited to FedRAMP High and HIPAA-eligible deployments.
Top Alternatives
- ChatGPT: Pick ChatGPT if you want the largest chatbot ecosystem and plugin marketplace; pick Gemini if you live in Google Workspace.
- Claude Code: Pick Claude Code if you prioritize terminal-native agentic workflows and SWE-Bench Pro coding; pick Gemini if you want 1M token context and Google Photos integration.
- Cursor: Pick Cursor if you want an IDE-first experience with inline completions; pick Gemini if you want mobile access and multimodal grounding with Google Search.