Together AI
Description
🖼️ Tool Name:
Together AI
🔖 Tool Category:
Integrations & APIs / Forecasting & Applied ML — it falls under the category of AI infrastructure platforms that provide open-source model hosting, inference APIs, and fine-tuning capabilities for large language models (LLMs).
✏️ What does this tool offer?
Together AI is a cloud platform that enables developers to train, serve, and fine-tune large language models efficiently using open infrastructure. It offers scalable APIs for inference, model customization, and distributed training. The company focuses on openness, cost-efficiency, and speed — giving developers access to a full LLM stack without proprietary lock-in.
⭐ What does the tool actually deliver based on user experience?
• Hosted inference APIs for open models like Llama 3, Mistral 7B, Gemma 2, Mixtral, Qwen 2, and DBRX.
• Fine-tuning and model customization workflows.
• Together Inference Engine — optimized serving layer for low-latency responses.
• Together Compute — distributed GPU infrastructure for large-scale training.
• Support for function calling, embeddings, and chat-style completions.
• Compatible with frameworks such as Hugging Face Transformers, vLLM, and PyTorch.
• Python SDK and REST API for easy integration into apps, agents, and research pipelines.
🤖 Does it include automation?
Yes — Together AI automates:
• Distributed compute orchestration for training and inference.
• Resource scaling and load balancing across GPUs.
• Model optimization (quantization, tensor parallelism, caching).
• Deployment of custom fine-tuned models with minimal setup.
💰 Pricing Model:
Usage-based (pay-as-you-go) and subscription for enterprise users.
🆓 Free Plan Details:
• Free API credits for new users.
• Access to a limited number of model queries and basic endpoints.
💳 Paid Plan Details:
• Pay-as-you-go — pricing per 1 K tokens (depends on model size, typically $0.10 – $0.80 per 1 K tokens).
• Enterprise — custom contracts for dedicated GPU clusters, private model hosting, and SLAs.
🧭 Access Method:
• REST API: https://api.together.xyz
• Developer dashboard: https://www.together.ai
• Python SDK (together) for integration with applications and research projects.
• CLI for model deployment and management.
🔗 Experience Link: