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️ 🖼Tool name:
Gemini 2.5 Pro
(Gigantic Multimodal Model from Google DeepMind)

🔖 Tool Category:
Multimodal General AI Model
Supports text, images, audio, and video - developed by Google DeepMind.

️ ✏What does this tool offer?

• Multimodal understanding and generation: Supports input and processing of text, images, video, and audio within the same context.

• Huge context capacity: Capable of handling up to 1 million tokens in input, allowing for the analysis of large-scale projects and documents.

• Function Calling: Can execute commands and code within the conversation itself.

• Execute code directly as part of the reasoning process.

• Direct integration with research tools for real-time information retrieval.

• Advanced Reasoning: Outstanding performance in solving complex problems in coding, math, and science.

• Vibe-Coding and controlling the tone and style of audio output.

⭐ What does the tool actually offer based on user experience and official news?

• Gemini 2.5 Pro tops Benchmark's global scores in programming, logic, and math.

• Native Multimodal integration without the need for intermediate conversions.

• It relies on accurate scheduling to price tokens (inputs/outputs) according to the volume of usage.

• It is characterized by a secure architecture that adheres to Safety & Securitystandards, with a clear commitment to transparency and addressing ethical challenges.

🤖 Does it include automation?
Yes - to a very high degree.

• Functions are implemented directly within the conversation to integrate with external services and developer tools.

• Self-runs code within analytical responses.

• Searches the web in real-time to fetch the latest information and data during the interaction.

💰 Pricing model:
Pay-as-you-go based on the number of tokens:

• 💵 Input: $1.25 per million tokens (no caching )

• O 💵utput: $10.00 per million tokens

• If the input exceeds 200,000 tokens,progressively higher rates apply.

• Prices are officially displayed on the Gemini Pro page on the DeepMind/Google website.

🆓 F ree plan details:

• There is no comprehensive free plan for the model itself.

• Limited trial or free tiers can be accessed across platforms:
  - Google AI Studio
  - Gemini API
  - Vertex AI

• These platforms make it possible to try out some of the capabilities within the limits of free usage.

💳 Paid plan details:

• Payment is based on the number of tokens actually used (Input + Output).

• There is a different pricing for exceeding the 200k token limit in Input.

• Organizations can manage usage via Google Cloud/Vertex AI accounts with professional options for scaling.

🧭 Access:

• Via Google AI Studio to experience the model directly.

• Through the Gemini API to integrate it into applications and software projects.

• Via Vertex AI within Google Cloud to run it at enterprise scale.

• Also available in the official Gemini app and Google's integrated platforms.

🔗 Link to the demo/source:
https://deepmind.google/models/gemini/pro

🖼️ Tool Name:
Geminus AI

🔖 Tool Category:
AI-powered industrial / physics-informed modelling & control platform; falls under the category of industrial automation and predictive modelling tools for complex cyber-physical systems.

✏️ What does this tool offer?
Geminus AI provides a platform that integrates real-time operational data, physics-based modelling and generative AI to create high-fidelity digital twins and predictive models for industrial and energy-sector systems.
Key offerings include:

• Model building that combines data + physics to accelerate creation of operational models with less data than typical AI approaches.

• Real-time intelligence and optimisation of industrial operations (energy, utilities, manufacturing) to reduce cost, emissions, and improve performance. 

• A scalable enterprise-platform that supports edge, cloud, on-premise deployment and addresses industrial constraints. 

⭐ What does the tool actually deliver based on user experience?
• Able to build models faster (weeks instead of months) for complex industrial systems with fewer data thanks to physics-informed AI. 
• Real customer use-cases: e.g., with SLB (Schlumberger) achieved notable gains: e.g., 40% energy use reduction in a water network, 10% production increase in oil wells. 
• High-precision predictions, uncertainty quantification, and real-time control capabilities for enterprise operations. 
• Focus on sustainability: operations optimisation tied to emissions reduction.

🤖 Does it include automation?
Yes — Geminus AI is built around automation for industrial operations:
• Automated model generation leveraging physics + data to reduce manual effort in model training. 
• Automated optimisation and control of assets/operations in real-time or near-real-time.
• System supports self-updating models and adapts to changing operational data (adaptive learning). 

💰 Pricing Model:
Enterprise / B2B licensing model aimed at industrial-scale clients. No publicly listed standard pricing.

🆓 Free Plan Details:
Not publicly indicated. The platform is clearly enterprise/industrial-oriented.

💳 Paid Plan Details:
Custom enterprise engagements including deployment, integration, model building and ongoing operations.

🧭 Access Method:
• Contact via website at
• Enterprise sales engagements for large industrial projects (energy, manufacturing).
• Lik integration with partner network (e.g., SLB) for deployment in operations. 

🔗 Experience Link:

https://www.geminus.ai