Serverless Inference
Together AI provides a serverless inference platform that enables developers and enterprises to use leading open-source language, vision, and multimodal models without managing infrastructure. It offers a flexible pay-as-you-go pricing model so teams can scale from prototype to production workloads while paying only for what they use. The infrastructure supports fully managed serverless endpoints as well as dedicated GPU options for users who need consistent performance. This platform is ideal for businesses building AI-powered products such as chatbots, search, content generation, and computer vision applications that need reliable and low-latency inference without the burden of GPU maintenance.
Key Features
-
High-performance inference engine optimized for speed and cost
-
Pay-per-token pricing for text models and pay-per-image pricing for vision models
-
Serverless endpoints for automatic scaling and dedicated endpoints for predictable performance
-
Support for open-source models, including Llama, DeepSeek, and Qwen families
-
Bring-your-own-model support using LoRA adapters for fine-tuned inference
-
Enterprise security options, including private VPC and data governance features
Use Cases
-
Building conversational AI and chatbot applications using open-source LLMs
-
Generating and summarizing text content efficiently at scale
-
Deploying multimodal (text and vision) models for AI-driven products
-
Integrating secure inference into enterprise data pipelines
-
Rapid prototyping of AI ideas before moving to dedicated GPU setups
Pricing and Plans
Together AI offers transparent, usage-based pricing. Verified examples from their official pricing page include:
-
Text and vision models: pay per million tokens or per image megapixel. For example, Llama 4 Maverick costs $0.27 per 1M input tokens and $0.85 per 1M output tokens
-
Vision model (FLUX.1 Krea dev): approximately $0.025 per megapixel for default configuration
-
Dedicated GPU pricing: NVIDIA H100 instance from $2.39 per hour, depending on configuration
If specific pricing information for a model is not listed, Together AI advises checking their live pricing dashboard for accurate, up-to-date details.
Integrations and Compatibility
-
REST API interface compatible with OpenAI-style endpoints
-
Supports LoRA adapters for fine-tuned model inference
-
Deployment options include Together Cloud (fully managed), private VPC, or on-premise enterprise environments
-
Compatible with a broad selection of open-source models for text and vision tasks
| Pros | Cons |
|---|---|
| Easy to start with a pay-as-you-go serverless API | Per-token billing can become costly for high-volume workloads |
| High performance with optimized infrastructure | Less control compared to self-hosted inference setups |
| Supports multiple open-source models and fine-tuning | Requires careful cost estimation for long-context models |
| Enterprise options with strong data privacy controls | Some advanced features are limited to dedicated or enterprise tiers |
Final Verdict
Together AI Serverless Inference is a reliable and scalable choice for teams that want to use open-source models without the complexity of managing GPU infrastructure. The pay-per-token approach allows affordable experimentation while maintaining high performance and flexibility.
For developers seeking production-grade performance with dedicated resources or compliance-ready environments, upgrading to Together AI’s enterprise or dedicated options can provide additional control and efficiency.