Compare Models
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Microsoft
Azure OpenAI Service
OTHERMicrosoft’s Azure OpenAI Service allows you to take advantage of 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. GPT-4 is available in preview in the Azure OpenAI Service and the billing for GPT-4 8K and 32K instances per 1/K tokens and can be found under those models on the tokes compare site. To note, Microsoft’s Azure OpenAI Service customers can access GPT-3.5, ChatGPT, and DALL·E too. -
Microsoft
Bing Search APIs
OTHERMicrosoft’s Bing AI search engine is powered by GPT-4. Microsoft claims the new model is faster and more accurate than ever. Bing Search APIs provide a variety of APIs with trained models for your use. The Bing Search APIs add intelligent search to your app, combining hundreds of billions of webpages, images, videos, and news to provide relevant results without ads. The results can be automatically customized to your user’s locations or markets, increasing relevancy by staying local. There are various prices for Bing Search APIs which are dependent on the feature. For customers who are interested in more flexible terms related to presenting Bing API results with their models check out the website for prices per 1,000 transactions. -
BloombergGPT
BloombergGPT
OTHERBloombergGPT represents the first step in developing and applying LLM and generative AI technology for the financial industry. Bloomberg GPT has been trained on enormous amounts of financial data and is purpose-built for finance. The mixed dataset training leads to a model that outperforms existing LLMs on financial tasks by significant margins without sacrificing performance on general LLM benchmarks. Bloomberg GPT can perform a range of NLP tasks such as sentiment analysis, named entity recognition, news classification, and even writing headlines. With Bloomberg GPT, traders and analysts can perform financial analysis and insights more quickly and efficiently, saving valuable time that can be used for other critical tasks. To use Bloomberg GPT, you need access to Bloomberg’s terminal software (a platform investors and financial professionals use to access real-time market data, breaking news, financial research, and advanced analytics). Bloomberg also offers a variety of other subscription options, including subscriptions for financial institutions, universities, and governments. The price of a Bloomberg terminal varies depending on the type of subscription and the number of users. -
Databricks
Dolly 2.0
FREEDolly 2.0 by Databricks, is the first open source, instruction-following Large Language Model, fine-tuned on a human-generated instruction dataset and is licensed for research and commercial use, which means any organization can create, own, and customize powerful LLMs that can talk to people without paying for API access or sharing data with third parties.Dolly 2.0 is a 12B parameter language model based on the EleutherAI pythia model family and fine-tuned exclusively on a new, high-quality human generated instruction following dataset (crowdsourced among Databricks employees – so cool). Dolly-v2-12b is not a state-of-the-art model, but it does exhibit surprisingly high-quality instruction following behavior not characteristic of the foundation model on which it is based. Dolly v2 is also available in smaller model sizes: dolly-v2-7b, a 6.9 billion parameter based on pythia-6.9b and dolly-v2-3b, a 2.8 billion parameter based on pythia-2.8b.Dolly 2.0 can be used for brainstorming, classification, open Q&A, closed Q&A, content generation, information extraction, and summarization. You can access the Dolly 2.0 can training code, the dataset, and the model weights on Hugging Face. -
Aleph Alpha
Luminous-base
$0.0055Aleph Alpha have the Luminous large language model. Luminous models vary in size, price and parameters. Luminous-base speaks and writes 5 languages: English, French, German, Italian and Spanish and the model can perform information extraction, language simplification and has multi-capable image description capability. Aleph Alpha is targeting “critical enterprises” — organizations like law firms, healthcare providers and banks, which rely heavily on trustable, accurate information. You can try Aleph Alpha models for free. Go to the Jumpstart page on their site and click through the examples on Classification and Labelling, Generation, Information Extraction, Translation & Conversion and Multimodal. Aleph Alpha are based in Europe, allowing customers with sensitive data to process their information in compliance with European regulations for data protection and security on a sovereign, European computing infrastructure. -
Aleph Alpha
Luminous-extended
$0.0082Aleph Alpha luminous-extended is the second largest model which is faster and cheaper than Luminous-supreme. the model can perform information extraction, language simplification and has multi-capable image description capability. You can try Aleph Alpha models with predefined examples for free. Go to at the Jumpstart page on their site and click through the examples on Classification and Labelling, Generation, Information Extraction, Translation and Conversion and Multimodal. Aleph Alpha are based in Europe, which allows customers with sensitive data to process their information in compliance with European regulations for data protection and security on a sovereign, European computing infrastructure. -
Aleph Alpha
Luminous-supreme
$0.0319Supreme is the largest model but the most expensive Aleph Alpha Luminous model. Supreme can do all the tasks of the other smaller models (it speaks and writes 5 languages, English, French, German, Italian and Spanish and can undertake Information extraction, language simplification, semantically compare texts, summarize documents, perform Q&A tasks and more) and is well suited for creative writing. You can try out the Aleph Alpha models for free. Go to the Jumpstart page on their site and click through the examples on Classification & Labelling, Generation, Information Extraction, Translation & Conversion and Multimodal. -
Aleph Alpha
Luminous-supreme-control
$0.0398Supreme-control is its own model, although it is based on Luminous-supreme and is optimized on a certain set of tasks. The models differ in complexity and ability but this model excels when it can be optimized for question and answering and Natural Language Inference.You can try out the combination of the Aleph Alpha models with predefined examples for free. Go to at the Jumpstart page on their site and click through the examples on Classification & Labelling, Generation, Information Extraction, Translation & Conversion and Multimodal. -
Microsoft, NVIDIA
MT-NLG
OTHERMT-NLG (Megatron-Turing Natural Language Generation) uses the architecture of the transformer-based Megatron to generate coherent and contextually relevant text for a range of tasks, including completion prediction, reading comprehension, commonsense reasoning, natural language inferences, and word sense disambiguation. MT-NLG is the successor to Microsoft Turing NLG 17B and NVIDIA Megatron-LM 8.3B. The MT-NLG model is three times larger than GPT-3 (530B vs 175B). Following the original Megatron work, NVIDIA and Microsoft trained the model on over 4,000 GPUs. NVIDIA has announced an Early Access program for its managed API service to the MT-NLG model for organizations and researchers. -
Microsoft
VALL-E
OTHERVALL-E is a LLM for text to speech synthesis (TTS) developed by Microsoft (technically it is a neural codec language model). Its creators state that VALL-E could be used for high-quality text-to-speech applications, speech editing where a recording of a person could be edited and changed from a text transcript (making them say something they originally didn’t), and audio content creation when combined with other generative AI models. Studies indicate that VALL-E notably surpasses the leading zero-shot TTS system regarding speech authenticity and resemblance to the speaker. Furthermore, it has been observed that VALL-E is capable of retaining the emotional expression and ambient acoustics of the speaker within the synthesized output. Unfortunately, VALL-E is not available for any form of public consumption at this time. At the time of writing, VALL-E is a research project, and there is no customer onboarding queue or waitlist (but you can apply to be part of the first testers group).
