- Developers & Engineers: Build apps with long-context understanding, large-code analysis, and model-powered agents.
- Scientists & Researchers: Leverage it for math proofs, code generation, scientific discovery, and multimodal reasoning.
- Productivity Teams: Use Deep Think mode to summarize reports, analyze datasets, and generate intelligent insights.
- Enterprises & API Users: Available in Google AI Studio, Gemini Advanced ($20/month), and soon on Vertex AI with tiered API pricing.
- Content & Media Teams: Create content, transcriptions, multilingual audio outputs, and context-aware summaries at scale.
How to Use Gemini 2.5 Pro?
- Access the Model: Try it in Google AI Studio (free experimental access with rate limits), purchase Gemini Advanced plan, or use via Gemini API in Studio or Vertex AI.
- Provide Inputs: Submit text, images, audio, video, or code; model responds with detailed, context-aware output.
- Enable Deep Think: Use the Deep Think mode or configure thinking budgets in the API for step-by-step reasoning.
- Scale Usage: API supports up to 2M token context window; tiered pricing covers usage beyond thresholds.
- Integrate Securely: Deploy in production with enterprise-grade security, multilingual support, and grounding capabilities.
- True Hybrid Reasoning: Pauses to think before answering, with developer controls over compute depth.
- Massive Context Window: Handles up to 2 million tokens through API—ideal for very large documents or archives.
- Multimodal Powerhouse: Supports text, images, audio, video, and complex code workflows in one model.
- Benchmark-Setting Performance: Tops LMArena by +39 Elo, leads GPQA, AIME, Humanity’s Last Exam, and outperforms in coding benchmarks.
- Flexible Pricing Structure: Free experimental use, then $1.25–$2.50 input and $10–$15 output per million tokens; configurable thinking-token costs; add-ons like grounding and audio generation.
- Industry-leading performance in reasoning, science, and coding
- Deep Think mode offers transparent, stepwise logic
- Supports huge context windows and rich media inputs
- Reasoned, grounded output improves factual trust
- Scalable tiered pricing with free experimentation
- Initial free access limited by rate caps—may frustrate power users
- Higher-end features (context, API access) require paid plan
- Cost can accumulate for long or heavy multimodal tasks
API
Custom
- Input price: 1) $1.25, prompts <= 200k tokens 2) $2.50, prompts > 200k tokens
- Output price (including thinking tokens): 1) $10.00, prompts <= 200k tokens 2) $15.00, prompts > 200k
- Context caching price: 1) $0.31, prompts <= 200k tokens 2) $0.625, prompts > 200k 3) $4.50 / 1,000,000 tokens per hour (storage price)
- Grounding with Google Search: 1,500 RPD (free), then 1) $35 / 2) 1,000 requests
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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