Find and compare the best Artificial Intelligence software for AI/ML API in 2025
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Use the comparison tool below to compare the top Artificial Intelligence software for AI/ML API on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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OpenAI's mission, which is to ensure artificial general intelligence (AGI), benefits all people. This refers to highly autonomous systems that outperform humans in most economically valuable work. While we will try to build safe and useful AGI, we will also consider our mission accomplished if others are able to do the same. Our API can be used to perform any language task, including summarization, sentiment analysis and content generation. You can specify your task in English or use a few examples. Our constantly improving AI technology is available to you with a simple integration. These sample completions will show you how to integrate with the API.
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Suno is creating a future in which anyone can create great music. We remove the barriers that stand between you and your dream song, whether you are a shower singer or charting artist. You don't need an instrument, just your imagination to turn your thoughts into music. If you're a free user then you can use your songs only for non-commercial purposes, so monetization will not be allowed. If you want to use your songs for commercial purposes, you will need to subscribe to our paid plans. Commercial use is any use that generates income. This includes monetization of sites like YouTube, and uploading music to streaming services like Spotify or Apple Music. If you're a Suno subscriber, you own all the songs that you create. You retain ownership of all original content that you create and input to Suno, regardless of the version you use. You can also re-record any new music or lyrics generated by Suno.
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Claude 3 Opus
Anthropic
FreeOpus, our intelligent model, is superior to its peers in most of the common benchmarks for AI systems. These include undergraduate level expert knowledge, graduate level expert reasoning, basic mathematics, and more. It displays near-human levels in terms of comprehension and fluency when tackling complex tasks. This is at the forefront of general intelligence. All Claude 3 models have increased capabilities for analysis and forecasting. They also offer nuanced content generation, code generation and the ability to converse in non-English language such as Spanish, Japanese and French. -
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Luma AI
Luma AI
FreeHigh quality, photorealistic 3D is now available for everyone. Luma is an innovative way to create lifelike 3D with artificial intelligence using your iPhone. You can easily capture products, landscapes, and scenes from wherever you are. You can create stunning product videos, impossible camera moves on TikTok, or simply relive the moment with your captured images. You don't need a Lidar or fancy capture equipment, just an iPhone 11 or higher. You can now: Capture 3D scenes with intricate details and reflections and lighting to share with everyone. You can bring people to where you are! Capture products in 3D, and display them on your website exactly as they appear in real-life. No more fake 3D. Blender, Unity, or any other 3D engine of your choice can capture 3D game assets in unparalleled quality and bring them into Blender, Unity, or any other 3D engine. -
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Falcon-7B
Technology Innovation Institute (TII)
FreeFalcon-7B is a 7B parameter causal decoder model, built by TII. It was trained on 1,500B tokens from RefinedWeb enhanced by curated corpora. It is available under the Apache 2.0 licence. Why use Falcon-7B Falcon-7B? It outperforms similar open-source models, such as MPT-7B StableLM RedPajama, etc. It is a result of being trained using 1,500B tokens from RefinedWeb enhanced by curated corpora. OpenLLM Leaderboard. It has an architecture optimized for inference with FlashAttention, multiquery and multiquery. It is available under an Apache 2.0 license that allows commercial use without any restrictions or royalties. -
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Mixtral 8x7B
Mistral AI
FreeMixtral 8x7B has open weights and is a high quality sparse mixture expert model (SMoE). Licensed under Apache 2.0. Mixtral outperforms Llama 70B in most benchmarks, with 6x faster Inference. It is the strongest model with an open-weight license and the best overall model in terms of cost/performance tradeoffs. It matches or exceeds GPT-3.5 in most standard benchmarks. -
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Claude 3.5 Sonnet
Anthropic
FreeClaude 3.5 Sonnet is a new benchmark for the industry in terms of graduate-level reasoning (GPQA), undergrad-level knowledge (MMLU), as well as coding proficiency (HumanEval). It is exceptional in writing high-quality, relatable content that is written with a natural and relatable tone. It also shows marked improvements in understanding nuance, humor and complex instructions. Claude 3.5 Sonnet is twice as fast as Claude 3 Opus. Claude 3.5 Sonnet is ideal for complex tasks, such as providing context-sensitive support to customers and orchestrating workflows. Claude 3.5 Sonnet can be downloaded for free from Claude.ai and Claude iOS, and subscribers to the Claude Pro and Team plans will have access to it at rates that are significantly higher. It is also accessible via the Anthropic AI, Amazon Bedrock and Google Cloud Vertex AI. The model costs $3 for every million input tokens. It costs $15 for every million output tokens. There is a 200K token window. -
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Stable Diffusion
Stability AI
$0.2 per imageWe have all been overwhelmed by the response over the past few weeks and have been hard at work to ensure a safe release. We have incorporated data from our beta models and community for developers to use. HuggingFace's tireless legal, technology and ethics teams and CoreWeave's brilliant engineers worked together. An AI-based Safety Classifier has been developed and is included as a default feature in the overall software package. This can understand concepts and other factors over generations to remove outputs that are not desired by the model user. This can be easily adjusted, and we welcome suggestions from the community on how to improve it. Although image generation models are powerful, we still need to improve our understanding of how to best represent what we want. -
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Llama 2
Meta
FreeThe next generation of the large language model. This release includes modelweights and starting code to pretrained and fine tuned Llama languages models, ranging from 7B-70B parameters. Llama 1 models have a context length of 2 trillion tokens. Llama 2 models have a context length double that of Llama 1. The fine-tuned Llama 2 models have been trained using over 1,000,000 human annotations. Llama 2, a new open-source language model, outperforms many other open-source language models in external benchmarks. These include tests of reasoning, coding and proficiency, as well as knowledge tests. Llama 2 has been pre-trained using publicly available online data sources. Llama-2 chat, a fine-tuned version of the model, is based on publicly available instruction datasets, and more than 1 million human annotations. We have a wide range of supporters in the world who are committed to our open approach for today's AI. These companies have provided early feedback and have expressed excitement to build with Llama 2 -
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Claude 3 Haiku
Anthropic
Claude 3 Haiku has the fastest and most affordable model of its intelligence class. Haiku's powerful performance and state-of-the art vision capabilities make it a versatile solution that can be used for a variety of enterprise applications. The model is available in the Claude API alongside Sonnet and Opus for our Claude Pro customers. -
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Gemini Pro
Google
Gemini is multimodal by default, giving you the ability to transform any input into any output. We built Gemini responsibly, incorporating safeguards from the beginning and working with partners to make it more inclusive and safer. Integrate Gemini models in your applications using Google AI Studio and Google Cloud Vertex AI. -
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Llama
Meta
Llama (Large Language Model meta AI) is a state of the art foundational large language model that was created to aid researchers in this subfield. Llama allows researchers to use smaller, more efficient models to study these models. This further democratizes access to this rapidly-changing field. Because it takes far less computing power and resources than large language models, such as Llama, to test new approaches, validate other's work, and explore new uses, training smaller foundation models like Llama can be a desirable option. Foundation models are trained on large amounts of unlabeled data. This makes them perfect for fine-tuning for many tasks. We make Llama available in several sizes (7B-13B, 33B and 65B parameters), and also share a Llama card that explains how the model was built in line with our Responsible AI practices.
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