5 Integrations with BurpGPT

View a list of BurpGPT integrations and software that integrates with BurpGPT below. Compare the best BurpGPT integrations as well as features, ratings, user reviews, and pricing of software that integrates with BurpGPT. Here are the current BurpGPT integrations in 2026:

  • 1
    OpenAI

    OpenAI

    OpenAI

    OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome. Apply our API to any language task — semantic search, summarization, sentiment analysis, content generation, translation, and more — with only a few examples or by specifying your task in English. One simple integration gives you access to our constantly-improving AI technology. Explore how you integrate with the API with these sample completions.
  • 2
    GPT-3

    GPT-3

    OpenAI

    Our GPT-3 models can understand and generate natural language. We offer four main models with different levels of power suitable for different tasks. Davinci is the most capable model, and Ada is the fastest. The main GPT-3 models are meant to be used with the text completion endpoint. We also offer models that are specifically meant to be used with other endpoints. Davinci is the most capable model family and can perform any task the other models can perform and often with less instruction. For applications requiring a lot of understanding of the content, like summarization for a specific audience and creative content generation, Davinci is going to produce the best results. These increased capabilities require more compute resources, so Davinci costs more per API call and is not as fast as the other models.
    Starting Price: $0.0200 per 1000 tokens
  • 3
    Hugging Face

    Hugging Face

    Hugging Face

    Hugging Face is a leading platform for AI and machine learning, offering a vast hub for models, datasets, and tools for natural language processing (NLP) and beyond. The platform supports a wide range of applications, from text, image, and audio to 3D data analysis. Hugging Face fosters collaboration among researchers, developers, and companies by providing open-source tools like Transformers, Diffusers, and Tokenizers. It enables users to build, share, and access pre-trained models, accelerating AI development for a variety of industries.
    Starting Price: $9 per month
  • 4
    Azure OpenAI Service
    Apply advanced coding and language models to a variety of use cases. Leverage large-scale, generative AI models with deep understandings of language and code to enable new reasoning and comprehension capabilities for building cutting-edge applications. Apply these coding and language models to a variety of use cases, such as writing assistance, code generation, and reasoning over data. Detect and mitigate harmful use with built-in responsible AI and access enterprise-grade Azure security. Gain access to generative models that have been pretrained with trillions of words. Apply them to new scenarios including language, code, reasoning, inferencing, and comprehension. Customize generative models with labeled data for your specific scenario using a simple REST API. Fine-tune your model's hyperparameters to increase accuracy of outputs. Use the few-shot learning capability to provide the API with examples and achieve more relevant results.
    Starting Price: $0.0004 per 1000 tokens
  • 5
    Gradle

    Gradle

    Gradle

    Gradle Inc. is the company behind the leading software solution for improving developer productivity and happiness called Develocity (formerly Gradle Enterprise) and the popular open-source Gradle Build Tool, which is downloaded over 30 million times a month. Gradle is also pioneering the emerging practice of Developer Productivity Engineering (DPE). Elite development teams from companies like Airbnb, LinkedIn, Microsoft, Nasdaq, and Netflix, practice DPE to deliver quality software more rapidly at scale. They achieve this by leveraging Develocity’s innovative build and test performance acceleration technologies and analytics to proactively improve the reliability of the developer toolchain and make failure troubleshooting more efficient.
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