Best Chat API in 2025

What is Chat API?

Chat API enables developers to integrate real-time messaging and advanced chat capabilities into applications. By leveraging large language models (LLMs), these APIs provide intelligent, scalable solutions for creating interactive, context-aware communication features that enhance application functionality and user experience.

Using Chat API, users can generate text for a variety of use cases, such as chatbots, virtual assistants, content creation, and language translation. Some Chat APIs also allow for customization, such as training the model on specific data sets or adjusting the level of creativity or coherence in the generated text.

‍

‍

Chat API uses cases

You can use chat API in numerous fields, here are some examples of common use cases:

• Content creation: create articles, social media posts, product descriptions, and other types of content for websites and social media platforms, helping businesses generate content more efficiently.
• Chatbots and virtual assistants: respond to customer inquiries and provide support, allowing businesses to save on customer service costs and improve customer satisfaction by providing quick and accurate responses.
• Education: create educational materials such as textbooks, quizz, and tutorials, allowing students to learn more effectively and making education more accessible to people who may not have access to traditional educational resources.
• Language translation: translate text from one language to another, which helps bridge communication gaps between people who speak different languages.
• Marketing: create marketing materials such as advertisements, slogans, and email campaigns

These are just a few examples of Chat API uses case, it can be applied in many different fields to generate engaging text content, improve efficiency, and enhance communication.

‍

Access many Chat APIs with one API

While comparing Chat APIs, it is crucial to consider different aspects, among others, cost security and privacy. Chat API experts at Eden AI tested, compared, and used many Chat APIs of the market. Here are some actors that perform well (in alphabetical order):

• Amazon Bedrock
• Anthropic Claude
• Cohere
• DeepSeek
• Google Gemini
• Mistral
• Open AI
• Perplexity AI
• Replicate
• Together AI

‍

1. Amazon Bedrock

Amazon Bedrock Chat API (Converse API) enables developers to build conversational applications using various foundation models, including those from Anthropic, Meta, and Amazon's Titan. It provides a unified interface for messaging, supports features like tool use, guardrails, and streaming, and simplifies chatbot and virtual assistant development without managing infrastructure.

‍

2. Anthropic - Available on Eden AI

‍‍

‍

Anthropic's Claude is an AI content generation of the next generation that Anthropic designed to train AI systems that are helpful, honest and safe. Our users can access Claude through the chat interface and API in the developer console. Claude can perform text processing and conversational tasks, maintaining a high level of reliability and predictability.

Our users can rely on Claude to accomplish several tasks, including summarizing, searching, writing creatively, collaborating, Q&A, and coding.

‍

3. Cohere - Available on Eden AI

‍

‍

Cohere’s Chat API benefits from being trained on a large and diverse corpus of text to generate high-quality, engaging text. The content produced is not only coherent and grammatically correct, but also contextually relevant and informative. Using advanced deep learning models, the technology can understand and incorporate a wide range of contextual information into the generated text.

Additionally, their platform allows for customization and fine-tuning, so users can tailor the output to their specific needs.

‍

4. DeepSeek - Available on Eden AI‍

DeepSeek API is an advanced AI tool that enables developers to integrate natural language understanding and content generation into their applications. It supports two models: DeepSeek-V3 for general tasks and DeepSeek-R1 for reasoning, math, and coding.

Compatible with OpenAI’s format, it offers high performance with multi-head latent attention and a mixture-of-experts architecture, ensuring efficiency and cost-effectiveness.

‍

5. Google Gemini - Available on Eden AI

‍

‍

The Google Gemini Chat API enables real-time, interactive AI applications with multimodal inputs like text, images, audio, and video. Using WebSockets for low-latency communication, it supports function calling, code execution, and search grounding. Available through Google AI Studio, it powers dynamic chatbots and virtual assistants.

‍

6. Mistral - Available on Eden AI

Mistral AI's Mixtral-8x7B model is tailored for advanced chat tasks, including text summarization, classification, text completion, and code completion. Deployable through Amazon SageMaker JumpStart, this model offers high-quality capabilities with a large context length, catering to various chat needs and ensuring coherent and semantically meaningful content.

‍

7. Open AI- Available on Eden AI

The OpenAI Chat API lets developers integrate advanced models like GPT-4o and GPT-4o-mini into applications. It supports multimodal inputs (text, images, audio) and features like streaming responses, tool calling, and customizable output parameters.

With a tiered pricing model based on usage, the API is easily integrated into various environments, uses API key authentication, and includes caching for cost optimization, enabling the creation of diverse AI-powered applications.

‍

8. Perplexity

Perplexity is a conversational search engine powered by large language models (LLMs), designed to enhance information discovery. It provides in-depth results through follow-up questions and delivers precise answers from diverse, up-to-date sources.

Beyond basic search, Perplexity allows users to summarize content, explore topics, organize projects, and collaborate seamlessly, offering a comprehensive, efficient platform for learning and discovery.

‍

9. Replicate

Replicate enables developers to integrate various open-source large language models like Llama 3 and Qwen-VL into their applications. It supports multimodal inputs, real-time streaming responses, and customizable text generation parameters.

Using standard HTTP requests and API tokens for authentication, it offers a pay-as-you-go pricing model based on compute time. Replicate optimizes and serves third-party models, focusing on simplifying AI integration without managing complex infrastructure.

‍

10. Together AI 

The Together AI chat API allows developers to integrate over 50 open-source large language models with features like multimodal inputs, tool calling, and token-level streaming. It offers a pay-as-you-go pricing model starting at $0.0001 per 1K tokens and supports high-volume usage with dedicated endpoints and monitoring dashboards. While it enhances and serves third-party models, it doesn't offer its own proprietary chat model.

‍

‍

Performance variations of Chat APIs

For all companies who use Chat API in their software: cost and performance are real concerns. The Chat API market is quite dense and all those providers have their benefits and weaknesses.

Performances of Chat APIs vary according to the specificity of data used by each AI engine for their model training.

‍

Performance variations across languages

Chat APIs perform differently depending on the language of the text and some providers are specialized in specific languages. Different specificities exist:

• Region specialties: some Chat APIs improve their machine learning algorithm to make them accurate for text in specific languages spoken in particular countries or regions. For example, some APIs perform well in English (US, UK, Canada, South Africa, Singapore, Hong Kong, Ghana, Ireland, Australia, India, etc.), while others are specialized in Asian languages (Korean, Japanese, Chinese, etc.).
• Rare language specialty: some Chat API providers care about rare languages and dialects. You can find Chat APIs that allow you to process text in Gujarati, Marathi, Burmese, Pashto, Zulu, Swahili, etc.

‍

Performance variations according to fields

Some Chat APIs trained their engine with specific data. This means that some Chat APIs will perform better for generating informative news and articles, while others will perform better for creating engaging content on social media.

‍

Why choose Eden AI to manage your Chat APIs

Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate chat tasks in their cloud-based applications, without having to build their own solutions.

Eden AI offers multiple AI APIs on its platform amongst several technologies: Text-to-Speech, Language Detection, Sentiment Analysis, Logo Detection, Question Answering, Data Anonymization, Speech Recognition, and so forth.

We want our users to have access to multiple Chat API engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple APIs:

‍

• Fallback provider is the ABCs: You need to set up a provider API that is requested if and only if the main Chat API does not perform well (or is down). You can use confidence score returned or other methods to check provider accuracy.
• Performance optimization: After the testing phase, you will be able to build a mapping of providers’ performance based on the criteria you have chosen (languages, fields, etc.). Each data that you need to process will then be sent to the best Chat API.
• Cost - Performance ratio optimization: You can choose the cheapest Chat API that performs well for your data.
• Combine multiple AI APIs: This approach is required if you look for extremely high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because Chat APIs will validate and invalidate each other for each piece of data.

‍

How Eden AI can help you?

Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.

‍

• Centralized and fully monitored billing on Eden AI for all Chat APIs
• Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
• Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
• The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
• Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.

‍

You can see Eden AI documentation here.

‍

Next step in your project

The Eden AI team can help you with your Chat API integration project. This can be done by :

• Organizing a product demo and a discussion to better understand your needs.
• By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
• By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
• Having the possibility to integrate on a third-party platform: we can quickly develop connectors.

‍