Artificial Intelligence is evolving fast, and it can be hard to keep up. If you’re wondering what is the latest model of AI, what is the latest form of AI, this guide is for you.
We explains the latest AI models in simple, beginner-friendly language. Whether you’re exploring for fun, work, or just to stay ahead of the curve, we’ve got you covered.
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🧠 What Is the Newest Technology in AI?
AI has moved from just “completing sentences” to understanding multiple types of input, looking things up, running locally, and acting with purpose. Here’s what’s new and why it matters:
Multimodal AI
Traditional models like GPT-3 or BERT processed only text. Newer models like ChatGPT-4.1, Gemini 2.5, and Claude 3.7 Sonnet go further — they can take in:
- Text (chat, documents, code)
- Images (photos, screenshots, graphs)
- Audio (spoken language, tone)
Why this matters:
- They understand context across modes — e.g. describe a chart while listening to a question about it.
- In education, customer support, or health, users naturally switch between speaking, writing, and pointing — now AI can follow along.
- This lays the groundwork for real-world assistants that see and hear like we do.
Retrieval-Augmented Generation (RAG)
Most large language models (LLMs) generate responses from what they were trained on — they don’t “know” anything past their training cut-off. RAG changes this.
RAG = LLM + external data sources (e.g., databases, PDFs, websites)
Instead of just predicting words, the model:
- Searches for relevant content from external sources in real time.
- Reads and summarizes or interprets that content.
- Generates a response that reflects both its training and what it just found.
Why this matters:
- Useful in enterprise and regulated domains (finance, law, healthcare), where up-to-date or internal knowledge is key.
- Reduces hallucinations (when the AI “makes things up”) by grounding answers in real sources.
- Enables dynamic, current, and document-aware responses.
Smaller, Task-Tuned Models
Not every task needs a trillion-parameter model. Increasingly, companies are:
- Fine-tuning smaller base models on domain-specific data (e.g., legal text, customer tickets).
- Distilling larger models into smaller, more efficient ones.
- Quantizing models to reduce their size for edge devices.
Examples: LLaMA 3 (Meta), Mistral, Phi-3 (Microsoft), TinyLlama.
Why this matters:
- These models run faster and cheaper — great for real-time apps, local servers, or constrained environments.
- They’re easier to audit and debug, especially in regulated industries.
- You can train or adapt them with much smaller datasets than what OpenAI or Google use.
On-Device AI
Instead of sending data to a remote server, new phones and laptops run AI models on the device itself:
- Gemini Nano (on Android Pixel devices)
- Apple’s upcoming local models for iOS
- Microsoft’s Copilot+ PCs (Windows with built-in NPU for AI tasks)
Why this matters:
- Privacy: Your voice or data never leaves the device.
- Speed: No network latency.
- Offline capability: AI still works even without internet.
Example: Real-time voice transcription or summarizing a webpage screenshot — all local, no cloud required.
What Is the Most Advanced AI Right Now?
🪅 Multimodal Models
Just Text Output
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Model Name
|
Company
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Latest Update
|
Function
|
Input
|
Output
|
Pricing (1M input)
|
Knowledge Cutoff
|
|---|---|---|---|---|---|---|---|
|
GPT-4.1
|
OpenAI
|
April 14, 2025
|
Flagship GPT model for complex tasks
|
Text, image
|
Text
|
$2
|
May 31, 2024
|
|
o4-mini
|
OpenAI
|
April 16, 2025
|
Faster, more affordable reasoning model
|
Text, image
|
Text
|
$1.1
|
May 31, 2024
|
|
Claude 3.7 Sonnet
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Anthropic
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Feb 19, 2025
|
Highest level of intelligence and capability with toggleable extended thinking
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Text, image
|
Text
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$3.00
|
Nov 2024
|
|
Gemini 2.5 Flash Preview 04-17
|
Google DeepMind
|
April 2025
|
Gemini best price-performance, offering well-rounded capabilities. Gemini 2.5 Flash rate limits are more restricted since it is an experimental / preview model.
|
Text, images, video, audio
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Text
|
Unknown
|
Jan 2025
|
|
Llama 4
|
Meta
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April 5, 2025
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A collection of pretrained and instruction-tuned mixture-of-experts LLMs offered in two sizes: Llama 4 Scout & Llama 4 Maverick
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Text + up to 5 images
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Text
|
Unknown
|
August 2024
|
All links above are grouped under Focus Group “🔍 AI Multimodal Models – Just Text Output“.
Multiple Format Output
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Model Name
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Company
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Latest Update
|
Function
|
Input
|
Output
|
Pricing (1M input)
|
Knowledge Cutoff
|
|---|---|---|---|---|---|---|---|
|
Gemini 2.0 Flash Preview Image Generation
|
Google DeepMind
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Feb 2025
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Gemini 2.0 Flash Preview Image Generation delivers improved image generation features, including generating and editing images conversationally.
|
Audio, images, videos, and text
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Text and images
|
Unknown
|
Aug 2024
|
|
Qwen2.5-Omni
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Alibaba Cloud
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Mar 26, 2025
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Understanding text, audio, vision, video, and performing real-time speech generation
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Text, images, audio, and video
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Text, audio
|
Unknown
|
Unknown
|
|
Adobe Firefly
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Adobe
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Mar 18, 2025
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Generate images, edit existing photos, apply artistic styles, create social media content, flyers, and more using text descriptions
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Text
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Image, video
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Limited free plan + subscriptions
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Unknown
|
All links above are grouped under Focus Group “🔍 AI Multimodal Models – Multiple Format Output“.
📝 Text Models
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Model Name
|
Company
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Latest Update
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Function
|
Input
|
Output
|
Pricing (1M input)
|
Knowledge Cutoff
|
|---|---|---|---|---|---|---|---|
|
o3-mini
|
OpenAI
|
Jan 31, 2025
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Fast, flexible, intelligent reasoning model
|
Text
|
Text
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$1.10
|
Sep 30, 2023
|
|
deepseek-chat (DeepSeek-V3)
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DeepSeek
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June 2024
|
A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token. It trained from 14.8 trillion tokens, requires only 2.788M H800 GPU hours for its full training.
|
Text
|
Text
|
$0.07
|
July 2023
|
|
deepseek-reasoner (DeepSeek-R1)
|
DeepSeek
|
April 2024
|
DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks.
|
Text
|
Text
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$0.14
|
Oct 2023
|
|
Llama 3.3
|
Meta
|
Dec 6, 2024
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Text only model is optimized for multilingual dialogue use cases
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Text
|
Text
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Unknown
|
Dec 2023
|
All links above are grouped under Focus Group “📝 Text Models“.
🖼️ Image Models
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Model Name
|
Company
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Latest Update
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Function
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Input
|
Output
|
Pricing (1M input)
|
Knowledge Cutoff
|
|---|---|---|---|---|---|---|---|
|
DALL·E 3
|
OpenAI
|
Unknown
|
OpenAI latest image generation model
|
Text
|
Image
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$0.08 (1024x1024), $0.12 (1024x1792)
|
Unknown
|
|
Version 7
|
Midjourney
|
April 3, 2025
|
Text and image prompts are handled with stunning precision, while image quality shines with richer textures and more coherent details—especially in bodies, hands, and objects.
|
Text
|
Image
|
Subscriptions
|
Unknown
|
|
Stable Diffusion 3.5
|
Stability AI
|
Oct 22, 2024
|
Deploy Stable Diffusion 3.5 on your own infrastructure, integrate it via our API, or start creating now with our web-based applications
|
Text
|
Image
|
Free for community, custom pricing for enterprise
|
Unknown
|
|
Imagen 3
|
Google DeepMind
|
Aug 2024
|
Google highest quality text-to-image model
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Text
|
Image
|
$0.03 per image on the Gemini API
|
Unknown
|
All links above are grouped under Focus Group “🖼️ Image Models“.
🎥 Video Models
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Model Name
|
Company
|
Latest Update
|
Function
|
Input
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Output
|
Pricing (1M input)
|
Knowledge Cutoff
|
|---|---|---|---|---|---|---|---|
|
Sora
|
OpenAI
|
Dec 2024
|
Sora is able to generate complex scenes with multiple characters, specific types of motion, and accurate details of the subject and background
|
Text
|
Video
|
Subscriptions
|
Unknown
|
|
Gen-4
|
Runway
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Mar 31, 2025
|
Runway next-generation series of AI models for media generation and world consistency
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Text, image
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Video
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Limited free plan + subscriptions
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Unknown
|
|
Pika Labs 2.2
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Pika AI
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Feb 27, 2025
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This update introduces cutting-edge features designed to provide greater control, flexibility, and quality in AI-generated videos
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Text, image
|
Video
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Limited free plan + subscriptions
|
Unknown
|
|
Stable Video Diffusion
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Stability AI
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Dec 20, 2023
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Deploy Stable Video Diffusion on your own infrastructure, integrate it via our API, or start creating now with our web-based applications.
|
Text
|
Video
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Free for community, custom pricing for enterprise
|
Unknown
|
All links above are grouped under Focus Group “🎥 Video Models“.
🎙️ Voice/Speech Models
- ElevenLabs – Hyper-realistic text-to-speech and voice cloning.
- Whisper v3 (OpenAI) – Best-in-class speech-to-text.
- Voicebox (Meta) – Multilingual speech synthesis.
- Suno AI (Bark) – AI music/voice generation.
- Deepgram – Low-latency speech recognition.
What Are the 4 Types of AI?
According to Arend Hintze, a professor at Michigan State University, the four types of AI were proposed in a 2016 article for The Conversation. He introduced this framework to explain different levels of AI sophistication, particularly in the context of developments like IBM’s Deep Blue—the chess-playing computer that beat Garry Kasparov in 1997.
When people refer to the four types of AI, they usually mean stages of intelligence:
- Reactive Machines – No memory; they simply react (e.g. chess programs)
- Limited Memory – Learns from data (e.g. ChatGPT)
- Theory of Mind – Still theoretical; understands human emotions
- Self-Aware AI – Also theoretical; fully conscious AI
There are three additional categories, usually combined with the above, to answer the broader question: What are the 7 types of AI?
- Narrow AI – Also known as task-specific or weak AI; this includes current systems such as expert systems, voice recognition, and other technologies that perform well in a specific domain but lack broader understanding
- General AI – Sometimes referred to as “human-level machine intelligence” or AGI. This is a potential milestone where an AI system could match humans in a wide range of cognitive tasks
- Superintelligent AI (or Super AI) – Hypothetical AI that’s smarter than humans. Nick Bostrom, a philosopher at the University of Oxford, in his 2014 book Superintelligence: Paths, Dangers, Strategies, defines it as any intellect that vastly exceeds human cognitive performance in virtually all domains of interest
If you’re wondering, which form of AI are we using now? Today’s AI—including ChatGPT, Claude, and Gemini—is Narrow AI with Limited Memory. They are great at specific tasks, but they don’t have self-awareness or emotional understanding.
What Is the Next Generation AI Technology?
We’re entering a phase where AI isn’t just passive — it does things, not just says things. Here’s where AI is headed:
AI + Robotics
Robots traditionally followed pre-programmed instructions or learned via reinforcement learning. Now, we’re seeing general-purpose LLMs connected to robot control systems (e.g., Google’s RT-X, Tesla’s Optimus, or Boston Dynamics with AI overlay).
What this enables:
- Interpreting commands like: “Put this cup on the shelf and clean the counter.”
- Adapting to new environments without retraining.
- Performing complex, multi-step tasks with human-level understanding of language and goals.
This is a step toward general-purpose household or industrial robots that don’t need custom coding per task.
Agent-based AI
An AI agent is a system that can:
- Set and manage goals
- Break them down into subtasks
- Take real actions (e.g., click buttons, fill forms, query APIs)
- Observe results and adapt
This is different from chatbots — agents act, not just respond.
Example tools:
- AutoGPT, OpenDevin, MetaGPT, LangGraph
- OpenAI’s recent demos: agents that browse websites, use tools, and navigate apps.
What’s changing:
- These systems can now use tools like a human assistant: booking flights, updating calendars, analyzing spreadsheets.
- They persist across time, keep memory, and can work in the background.
- Eventually, you might delegate full workflows (not just questions) to AI.
What Is Quantum AI?
Quantum AI is a new kind of technology that mixes quantum computing with artificial intelligence (AI) to solve problems faster and smarter than regular computers can.
Let’s break it down:
- AI is used to help machines learn, make decisions, and solve problems—like recommending what movie to watch or spotting fraud in banks.
- Quantum computing is a special type of computing that uses the weird rules of quantum physics. Instead of using regular bits (0s and 1s), it uses qubits, which can be 0 and 1 at the same time. This lets quantum computers process tons of possibilities at once.
When you combine these, Quantum AI can:
- Train AI models faster
- Handle very complex problems, like drug discovery or financial forecasting
- Possibly make smarter AI systems in the future
Right now, Quantum AI is still very new. Real quantum computers are hard to build and only used by top tech companies and researchers. But many people believe Quantum AI could lead to big breakthroughs in the next 5–10 years.
So in short:
Quantum AI = using quantum computers to boost how AI learns and thinks.
It’s not magic, and it’s not fully ready yet—but it’s one of the most exciting areas in tech.
Trending AI Models & Pricing (2025)
All links below are grouped under Focus Group “All Models & Pricing“.
ChatGPT | OpenAI
- All models: https://platform.openai.com/docs/models
- Pricing: https://platform.openai.com/docs/pricing
Common FAQ
❔What Does ChatGPT Stand For?
ChatGPT stands for Chat Generative Pretrained Transformer. Here’s a breakdown of the name:
- Chat: Refers to the AI’s ability to engage in conversations with users.
- Generative: The model can generate text based on the input it receives.
- Pretrained: It was trained on large amounts of text data before being fine-tuned for specific tasks.
- Transformer: Refers to the deep learning architecture used to process and generate language, allowing the model to understand context and relationships in text.
In short, it’s a model designed to generate human-like text based on a deep understanding of language.
❔Is ChatGPT free?
Yes, ChatGPT is free to use at chat.openai.com, but only the models like GPT-4o mini, limited access to GPT-4o and o4-mini are available for free. To access deep research, multiple reasoning models (o4-mini, o4-mini-high, and o3), and a research preview of GPT-4.5, the latest model, you need to subscribe to ChatGPT Plus.
DeepSeek
- Models & Pricing: https://api-docs.deepseek.com/quick_start/pricing
Claude | Anthropic
- Models & Pricing: https://docs.anthropic.com/en/docs/about-claude/models/all-models
Gemini | Google DeepMind
- All models: https://ai.google.dev/gemini-api/docs/models
- Pricing: https://ai.google.dev/gemini-api/docs/pricing
Common FAQ
❔What is Google’s AI called?
Google’s AI models are called Gemini.
The latest is Gemini 2.5, and it’s integrated into Google Workspace (Docs, Gmail) and Android phones through the Gemini assistant.
Llama | Meta
- Models and libraries: https://ai.meta.com/resources/models-and-libraries/
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