9 Best Multimodal AI Tools for 2025: Which Ones Should You Use?

Large language models (LLMs) are going way beyond the days of unimodal input—models that were designed to perform a particular task, such as image processing or speech recognition.

Today, multimodal AI tools and language models can interact with and identify text, images, video, and audio.

Markets and Markets research estimates that the global market for multimodal AI will grow from $1 billion in 2023 to $4.5 billion by 2028.

One core reason for this growth is that multimodal LLMs support a much wider range of tasks than language-centric LLMs, giving users more variety in the type of input they can enter and the output they receive.

But with a widening choice, it isn’t easy to know which tool to use for a given purpose, so join us as we look at the 9 best multimodal AI tools for 2025.

Table of Contents Table of Contents

1. Key Takeaways
2. The 9 Best Multimodal AI Tools for 2025
3. The Bottom Line
4. FAQs
5. References

Show Full Guide

Table of Contents

1. Key Takeaways
2. The 9 Best Multimodal AI Tools for 2025
3. The Bottom Line
Show Full Guide
4. FAQs
5. References

The 9 Best Multimodal AI Tools for 2025

9. Google Gemini

Google Gemini is a natively multimodal LLM that can identify and generate text, images, video, code, and audio. Gemini comes in three main versions: Gemini Ultra, Gemini Pro, and Gemini Nano.

Since its release, Gemini has shown some promising performance. According to CEO and co-founder of Google DeepMind, Demis Hassabis, Gemini has outperformed GPT-4 on 30 out of 32 benchmarks.

In addition, Gemini has also become the first language model to outperform human experts on massive multitask language understanding (MMLU) and has achieved a state-of-the-art score on the MMMU benchmark, which measures performance in multimodal tasks.

8. ChatGPT (GPT-4o)

Say hello to GPT-4o, our new flagship model which can reason across audio, vision, and text in real time: https://t.co/MYHZB79UqN

Text and image input rolling out today in API and ChatGPT with voice and video in the coming weeks. pic.twitter.com/uuthKZyzYx

— OpenAI (@OpenAI) May 13, 2024

ChatGPT with GPT-4o is OpenAI’s multimodal version of GPT-4, which supports text, image, code, and voice inputs. GPT-4o can generate text and image responses with DALL-E 3 and respond with voice.

Currently, ChatGPT can respond to users in up to five different AI-generated voices. This means that users can engage the chatbot in conversations via voice (although voice is limited to the ChatGPT app for Android and iOS).

With over 200 million people using ChatGPT every week, ChatGPT with GPT-4o is one of the best multimodal LLMs on the market today.

7. Sora

As you know, my explorations of the Gen AI space is ultimately all about creative control. You should be able to shape the generative matter using all your artistic sensibilities and your aesthetic sense.

OpenAI's Sora is a huge technological leap, but what excites me the most… pic.twitter.com/NQGfLRiq75

— Martin Nebelong (@MartinNebelong) February 16, 2024

OpenAI’s text-to-video model Sora has also appeared as one of the top examples of multimodal AI, despite the fact that it hasn’t officially been released yet. The model quickly attracted attention due to early models depicting Tokyo and a woman wearing a red dress in incredible depth.

Sora is capable of generating videos up to a minute long, and can generate scenes with multiple characters and motion.

Based on the quality of OpenAI’s initial demos, Sora appears as a strong candidate for the best multimodal AI model for text-to-video generations.

Examples of videos generated with Sora are impressive.

6. Grok 2

in case you missed it..

Grok 2 is here – our most advanced AI assistant, built right into X.

sign up to try it out:https://t.co/NXKNAIIvw6

4 examples of what Grok can do for you:

— Premium (@premium) August 16, 2024

Elon Musk and xAI’s humorous AI assistant Grok has come a long way since its launch in November 2023. The launch of Grok-2 in August 2024 turned the solution into a truly multimodal AI model that could generate text, images, and code.

One of Grok 2’s main differentiators from other multimodal AI tools is that it’s connected to real-time information across X, giving Grok a knowledge of current events.

However, what really made Grok 2 stand out from other competitors was the quality of images it could produce.

Grok 2 also demonstrated impressive performance upon its release, outperforming both Claude and GPT-4 on the LYMSYS leaderboard, and remains one of the best multimodal models we’ve seen to date.

5. Image FX

ばんじゃーい/#imagefx #imagen3 pic.twitter.com/bCNuTh0Bat

— grainie (@grainie_) October 30, 2024

ImageFX is a free multimodal LLM and text-to-image tool that’s part of Google Labs’ AI Test Kitchen. Users can sign in with a Google account and then begin producing images with Imagen 3 in a matter of seconds.

Images can be created in a range of styles with “expressive chips” or tags, which users can click on to change the overall style of an image. Options include tags like sketches, photographs, cinematic, and minimalist.

After creating an image, the user can use a brush feature to highlight part of the image and enter instructions on how they want to modify the section.

ImageFX stands out as one of the best free multimodal AI tools for generating images. It’s easy to use and capable of creating highly detailed generations.

4. Claude 3.5 Sonnet

Introducing Claude 3.5 Sonnet—our most intelligent model yet.

This is the first release in our 3.5 model family.

Sonnet now outperforms competitor models on key evaluations, at twice the speed of Claude 3 Opus and one-fifth the cost.

Try it for free: https://t.co/uLbS2JMEK9 pic.twitter.com/qz569rES18

— Anthropic (@AnthropicAI) June 20, 2024

Claude 3.5 Sonnet is a powerful multimodal LLM produced by Anthropic that supports text, image, and code inputs. Claude 3.5 offers strong reasoning abilities and impressive math capabilities, scoring 96% on Grade School Math Grade (GSM8K) and 91.6% on Multilingual Math benchmarks.

Anthropic’s model has drawn lots of interest due to its promising performance, setting

industry benchmarks on GPQA, MMLU, and HumanEval, demonstrating graduate-level reasoning and coding proficiency.

Claude 3.5 Sonnet is a powerful alternative to ChatGPT and GPT-4o that has the capacity to understand complex instructions and humor.

3. Inworld AI

In this demo, two players and an AI agent work together to escape. Powered by @Inworld’s AI Components, the AI agent is able to listen, recognize, and execute the commands – just like a human player. This multiplayer AI Co-op demo is just one of many potential applications.… pic.twitter.com/EJpsPXoTt3

— Inworld AI (@inworld_ai) October 10, 2024

Inworld AI is a character engine that developers can use to create non-playable characters (NPCs) and virtual people. The solution enables developers to use LLMs to develop characters to populate digital worlds and metaverse environments.

One of the most notable aspects of Inworld AI is its use of multimodal AI, which means that NPCs can communicate via a range of mediums, including natural language, voice, animations, and emotion.

Developers can create smart NPCs using multimodal AI. These NPCs can act autonomously, have their own personalities, and express emotion to users based on certain trigger conditions. They also have their own memories of past events.

Inworld AI is thus an excellent multimodal tool for those who want to use LLMs to build immersive digital experiences.

2. Meta ImageBind

Meta ImageBind is an open-source multimodal AI model that can process text, audio, visual, movement, thermal, and depth data. Meta claims that it is the first AI model capable of combining information across six different modalities.

For one example, feed ImageBind audio of a car engine and an image or prompt of a beach, and it will combine the two into new art.

The model itself can be used for diverse tasks, such as creating images from audio clips, searching for multimodal content via text, audio, and image, and teaching machines to understand multiple modalities.

Meta said in the announcement blog post:

“ImageBind equips machines with a holistic understanding that connects objects in a photo with how they will sound, their 3D shape, how warm or cold they are, and how they move.”

This multimodal AI model has many uses but is most notable for its ability to enable machines to perceive their environments through sensors.

1. Runway Gen-3 Alpha

Gen-3 Alpha Text to Video is now available to everyone.

A new frontier for high-fidelity, fast and controllable video generation.

Try it now at https://t.co/ekldoIshdw pic.twitter.com/miNbHdK5hX

— Runway (@runwayml) July 1, 2024

Runway Gen-3 Alpha is a multimodal AI model that can generate videos from text, image, or video inputs. Gen-3 offers users text-to-video, image-to-video, and video-to-video capabilities for creating original video content.

Gen-3 Alpha quickly developed traction due to its ability to depict photorealistic human characters in convincing real-world environments.

Runway claims that Gen-3 Alpha offers notable improvements over Gen-2 in terms of fidelity, consistency, and motion.

Based on what we’ve seen so far, Runway has emerged as one of the top multimodal LLMs for generating videos.

The Bottom Line

The future of AI is multimodal and interoperable.

The more inputs a vendor supports, the more potential use cases there are for end users, and the more combinations of ideas are available in one spot for you.

If you want to experiment with multimodality in your workflow, we recommend using more accessible tools like ChatGPT or Runway Gen-3.

But it is a changing environment—we are still in the early days. We will update you as more models come online with new features and ways of working.

FAQs