Together AI
Build, deploy, and optimize AI models with ultra-fast, scalable solutions.
Key Takeaways
- What it is
- Build, deploy, and optimize AI models with ultra-fast, scalable solutions.
- Best for
- Ultra-fast Inference
- Custom Model Building
- Scalable GPU Clusters
- Rating
- 4.6/5
What is Together AI?
Together AI is a leading cloud platform designed for generative AI, providing ultra-fast, scalable, and efficient solutions for building, deploying, and optimizing AI models. It offers a comprehensive suite of products including Together Inference, Together Fine-tuning, Together Custom Models, and Together GPU Clusters, catering to both individual developers and large enterprises.
Together AI stands out with its focus on speed and efficiency, featuring proprietary technologies like FlashAttention-2 and Monarch Mixer architectures that enhance AI performance and reduce computational overhead, offering a competitive edge in AI deployment.
Together AI excels in providing a high-speed, efficient, and flexible platform for generative AI, making it invaluable for developers and enterprises. Its cutting-edge technologies and open-source dedication offer significant advantages in the dynamic AI landscape.
Who is Using Together AI?
Tech Startups
Rapid development and deployment of AI models.
Academic Researchers
Utilization of open-source models for research and experimentation.
AI Consultants
Custom models for diverse client needs.
Large Enterprises
Scalable solutions for extensive AI operations.
Uncommon Use Cases
Non-profits and indie game developers leveraging AI for social good and dynamic game design.
Key Features
Rating Breakdown
Pricing Plans
Free Trial
- Access a robust trial to explore Together AI’s capabilities
Subscription Plans
- Various tiers available
- From basic to enterprise solutions
Which Together AI plan should you pick?
Start with Build Tier 1 for paid experimentation, then move to Scale or Enterprise when you need higher limits, SSO, dedicated support, or contractual capacity.
Build Tier 1
Good for developers starting with pay-as-you-go inference and requiring the initial $5 spend threshold.
Scale
Good for teams that need higher service limits, SSO availability, and standard production support.
Enterprise
Good for organizations needing enterprise identity controls, dedicated support, contractual service terms, and large-scale deployment.
Together AI Use Cases
Build coding agents
Use Together coding models with agent frameworks or coding workflows to understand projects and generate code.
Outcome: Accelerate software development and automated coding tasks.
Deploy production inference
Call serverless models or deploy custom models on dedicated GPU endpoints.
Outcome: Serve AI applications with scalable or predictable inference capacity.
Fine-tune models on proprietary data
Upload training files and run LoRA, full, or preference fine-tuning jobs.
Outcome: Create models adapted to domain-specific tasks and data.
Analyze images and documents
Send images to vision-language models for extraction, comparison, transcription, or structured responses.
Outcome: Convert visual content into natural-language or structured information.
Build multi-step AI agents
Orchestrate sequential, parallel, conditional, or iterative model calls.
Outcome: Automate complex tasks that require multiple model operations.
Workflow Ideas with Together AI
Fine-tune and deploy a custom model
- 1Upload a training dataset through the Files API
- 2Create and monitor a fine-tuning job
- 3Deploy the resulting model on a dedicated endpoint
Build a multimodal data analyst
- 1Upload a dataset to a code-interpreter session
- 2Ask a vision or language model to analyze the data
- 3Execute generated Python code and return charts or findings
Automate a multi-step agent workflow
- 1Define sequential, parallel, conditional, or iterative steps
- 2Call Together models for each stage
- 3Combine the outputs into a final application response
How Together AI fits into your stack
API Access
Seamless integration with existing systems through a well-documented API.
Cloud Compatibility
Works with major cloud platforms.
Custom Data Integration
Supports private data sets for fine-tuning.
Open-source Integration
Extensive support for integrating with open-source tools and models.
Pros
- +Speed and Efficiency: Dramatically reduces training and inference times.
- +Cost-Effectiveness: Competitive pricing makes high-performance AI accessible.
- +Flexibility: Wide range of model sizes and configurations available.
- +Strong Community and Support: Robust documentation and active community.
Cons
- −Complexity for Beginners: Advanced settings may overwhelm new users.
- −Resource Intensity: Requires substantial computational resources for optimal use.
- −Limited Language Support: Primarily supports English, which may limit multilingual applications.
Limitations & when to consider alternatives
Known limitations
- Prepaid access is required. Together AI requires a positive credit balance, with a minimum $5 purchase for platform access.
- Serverless rate limits are dynamic. Rate limits vary by organization, model capacity, and recent successful usage; excess requests can return HTTP 429.
- Batch jobs are not interactive. Batch processing uses job-shaped workflows with a default 24-hour completion window and is unsuitable for sub-second responses.
- Some project features are still rolling out. Several resources have API support but lack full multi-project UI support, including fine-tuning, files, evaluations, and batch workloads.
- Fine-tuning files have size limits. The documented CLI fine-tuning workflow limits training and validation files to 25 GB.
Look elsewhere when
- You need a free plan without purchasing credits.
- You need a native mobile or desktop application.
- Your workload needs unlimited or fixed serverless throughput.
How to Use Together AI
- 1
Access a range of tutorials from basic setup to advanced optimization on the official website and community forums.
Who is Together AI For?
AI developers
Use APIs, SDKs, hosted models, and coding tools to build AI applications and agents.
AI-native startups
Run production inference with serverless or dedicated capacity and scale workloads dynamically.
Enterprise organizations
Use projects, role-based access, SSO, dedicated infrastructure, and enterprise deployment options.
Machine-learning teams
Upload datasets, fine-tune models, evaluate outputs, deploy endpoints, and manage GPU infrastructure.
Frequently Asked Questions
Does Together AI offer a free tier?
Together AI currently requires a minimum $5 credit purchase and does not offer free trials or signup credits.
How do I authenticate API requests?
Create a project-scoped API key and send it in the Authorization header as a Bearer token.
What inference options are available?
Together offers serverless inference for shared open models and dedicated endpoints with reserved GPUs.
Can I fine-tune models?
Yes. Together supports LoRA and full fine-tuning, plus preference fine-tuning methods such as DPO, RPO, and SimPO.
Can Together AI process images?
Yes. Vision-language models accept hosted images, base64-encoded local images, video URLs, and multiple images.
Does Together AI support enterprise identity management?
Scale and Enterprise accounts support SSO through SAML and OIDC providers such as Okta, Google Workspace, Microsoft Entra, and JumpCloud.
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