Sold by: Together AI
Train, fine-tune, and run generative AI models faster, at a lower cost, and at a production scale.
4.3
Overview
Together AI makes it easy to run, fine-tune, and manage open-source and custom models, at the production scale. Our platform enables you to:
Run serverless or on-demand models for more consistent traffic
Scale with monthly reserved instances and VPC for larger deployments
Fine-tune via API and deploy your fine-tuned model for inference
Deploy the Together Enterprise Platform in your VPC on EKS with 2-3x faster inference and up to 50% GPU savings
Manage, orchestrate, and optimize models in one place, achieving low latency and high accuracy for your use cases
What to expect after your purchase:
Once you complete your AWS Marketplace purchase, you will be directed to a form to share your account information. You will also be prompted to set up your account here: http://api.together.ai/ .
Once these steps are complete, our team will be in touch within 48 hours to load the purchased Together AI credits into the account you have created.
For custom pricing & units, reach out to the support team at https://www.together.ai/contact
Highlights
- Run over 200 open-source and custom models available via autoscaling Serverless and Dedicated Instances, with private deployment options for enterprise security.
- Fine-tune generative AI models with your proprietary data and maintain ownership of your custom models.
- Enterprise-grade security and reliability with SOC 2, HIPAA compliance, and custom SLAs.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
10,000 Credits | $10,000 Together AI Consumption Units package | $10,000.00 |
25,000 Credits | $25,000 Together AI Consumption Units package | $25,000.00 |
50,000 Credits | $50,000 Together AI Consumption Units package | $50,000.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Description | Cost/unit |
|---|---|---|
additional_usage | Additional Credits | $1.00 |
Dimensions summary
You buy prepaid credits in fixed packages: 10,000, 25,000, or 50,000 Consumption Units. Each package is a lump-sum contract purchase, not a recurring subscription. The three packages differ only in the amount of credits included, so you pick the size that matches your expected usage. Credits are drawn down as you consume the platform's services. If you use more than your package covers, the additional usage dimension lets you add more credits. This gives you a base commitment plus an overflow option to handle demand beyond your chosen package.
Top-of-mind questions for buyers
Credits draw down as you use the platform's services. These include running open-source models through a managed inference API, reserving dedicated throughput capacity, deploying models on isolated GPUs, and fine-tuning open models. Usage across text, image, video, code, and voice all consumes credits from your prepaid package.
Consumption is metered by the underlying service you use. Serverless inference is billed per million tokens. Provisioned throughput uses PTUs, a normalized throughput unit. Dedicated inference is billed per GPU-hour. Fine-tuning is billed per million tokens processed. Each service draws credits at its own rate.
The additional usage dimension lets you add more credits when consumption passes your package amount. This works as an overflow so demand beyond your chosen 10,000, 25,000, or 50,000 package can still be served. You buy the additional credits rather than being cut off.
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Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Sanjeev M.
Fast, Reliable Open-Source AI Platform
Reviewed on Oct 30, 2026
Review provided by G2
What do you like best about the product?
Together.ai provides fast and reliable access to powerful open-source AI models with great API performance.
What do you dislike about the product?
Sometimes the pricing or documentation could be a bit more beginner-friendly, but overall it is a great service
What problems is the product solving and how is that benefiting you?
It saves time and resources by providing fast APIs, smooth model deployment, and high-performance cloud infrastructure for AI projects.
Ankit K.
Fast, Flexible Access to Open-Source Models with Easy API Integration
Reviewed on Oct 27, 2026
Review provided by G2
What do you like best about the product?
wide range of open-source models, easy API integration, competitive pricing, fast inference, flexible model deployment, good support for AI development workflows
What do you dislike about the product?
occasional API latency, limited fine-tuning options for some models, documentation can be clearer, model performance varies, debugging API errors can be tricky, pricing can be less predictable at scale
What problems is the product solving and how is that benefiting you?
access to multiple open-source AI models, faster model experimentation, reduced infrastructure setup, cost-effective AI development, easy API integration, scalable inference for applications
Anurag T.
Developer-Friendly Platform for Exploring Open-Source AI Models
Reviewed on Oct 22, 2026
Review provided by G2
What do you like best about the product?
What I like best about Together AI is its easy access to a wide range of open-source AI models through a single platform. The API is straightforward to integrate, performance is impressive, and the platform makes it easy to experiment with different models for various use cases. I also appreciate the flexibility, scalability, and developer-friendly tools, which help speed up development and reduce the effort required to build AI-powered applications.
What do you dislike about the product?
One area for improvement is the consistency of performance and response times across different models, especially during high-demand periods. The pricing and usage limits could also be easier to understand, making it simpler to estimate costs for different workloads. Additionally, more detailed documentation and troubleshooting examples for certain models would help developers integrate and optimize their applications more efficiently.
What problems is the product solving and how is that benefiting you?
Together AI solves the challenge of accessing and integrating different AI models without having to manage multiple platforms. It provides a unified API that makes it easier to experiment with open-source models, compare their performance, and build AI-powered applications efficiently. This saves development time, simplifies model integration, and provides the flexibility to choose models based on specific project requirements and budget. Overall, it helps streamline development and makes working with AI more accessible and cost-effective.
Muhammad Basit J.
Solid API for quick LLM prototyping, but wish playground had test credits
Reviewed on Oct 21, 2026
Review provided by G2
What do you like best about the product?
Together.ai provides fast and reliable inference endpoints for running leading open-source models like Meta Llama and Mistral without requiring you to manage high-end GPU hardware or complex cloud instances. The developer dashboard is clean, creating API keys and organizing project settings takes just seconds, and the API structure is straightforward to integrate into web applications and Python backends.
What do you dislike about the product?
The onboarding setup is somewhat restrictive for new developers testing the platform, as accounts are immediately placed into read-only mode and require an upfront credit deposit before you can run sample test prompts in the playground. Providing a small sandbox balance or a few test credits to evaluate model latency and playground features before adding payment details would make the developer experience much smoother.
What problems is the product solving and how is that benefiting you?
Together.ai solves the heavy infrastructure burden of provisioning, managing, and maintaining expensive dedicated GPU clusters just to run open-source AI models. Instead of dealing with CUDA drivers, server orchestration, and high hardware overhead, it provides instant serverless inference APIs. This benefits me by dramatically speeding up project development and prototyping, allowing me to integrate language model capabilities into web applications and test different open-source model architectures with minimal friction.
Computer Software
Speed Meets Open-Source Freedom: High-Performance AI Without the Hardware Headache
Reviewed on Oct 21, 2026
Review provided by G2
What do you like best about the product?
The best thing about Together AI is its industry-leading, low-latency inference speed and cost-effective access to a massive library of open-source models without the hassle of managing GPU infrastructure.
What do you dislike about the product?
The main dislikes regarding Together AI are its complex and fragmented multi-page pricing structure that makes total cost estimation difficult, thin documentation with vague error codes for debugging, and raw processing speeds that trail ultra-low-latency competitors like Groq for real-time applications.
What problems is the product solving and how is that benefiting you?
Together AI solves the core infrastructure, cost, and optimization bottlenecks that prevent developers and enterprises from successfully deploying open-source artificial intelligence at scale.