Together AI
The AI Native Cloud for open-source model inference and training
About Together AI
Together AI is a full-stack cloud platform for building, training, and deploying open-source AI models at scale. It offers serverless inference APIs, dedicated GPU endpoints, fine-tuning, and instant GPU clusters across 200+ models including Llama, DeepSeek, Qwen, and Mistral.
Pros & Cons
Pros
- Massive model library with 200+ open-source models available via a single API
- OpenAI-compatible API makes migration from proprietary providers seamless
- Competitive per-token pricing with batch inference at 50% cost reduction
- Full-stack platform covering inference, fine-tuning, training, and GPU clusters
- Cutting-edge research team (Flash Attention creator Tri Dao is a co-founder)
- Rapid model availability — new open-source models often available on day one
Cons
- No free tier — requires $5 minimum credit purchase to get started
- Steep learning curve for beginners; documentation can be thin in places
- GPU cluster management requires DevOps expertise for optimal configuration
- Costs can escalate quickly without careful usage monitoring
- Primarily focused on open-source models — no access to proprietary models like GPT-4 or Claude
Key Features
Serverless Inference API
Access 200+ open-source models via an OpenAI-compatible API with per-token pricing, batch inference at 50% cost reduction, and automatic model routing to latest versions.
GPU Cloud Clusters
Self-service NVIDIA H100, H200, and Blackwell B200 GPU clusters with API-first provisioning, available instantly across 25+ global data center locations.
Fine-Tuning Platform
Fine-tune 14+ large language models with LoRA or full-parameter training, supporting extended context lengths across DeepSeek, Qwen, Llama, and Gemma model families.
Dedicated Endpoints
Deploy models on dedicated hardware with prompt caching enabled by default, auto-scaling, and single-tenant environments for enhanced data governance.
Image & Video Generation
Generate images and videos through unified APIs supporting 40+ models including FLUX.1, Google Imagen 4.0, OpenAI Sora 2, and Google Veo 3.0.
Audio APIs
Real-time WebSocket APIs for text-to-speech and speech-to-text with speaker diarization, supporting models like Orpheus 3B and Kokoro 82M.
Model Evaluation & Testing
Built-in evaluation framework supporting serverless LoRA and dedicated endpoints, with code sandbox and interpreter for rapid prototyping.
Frontier AI Factory
Enterprise-scale GPU infrastructure supporting 1,000 to 100,000+ NVIDIA GPUs for frontier AI training and research workloads.
Pricing
- 200+ open-source models
- OpenAI-compatible API
- Batch inference at 50% off
- Auto model routing
- Pay per token consumed
- $5 minimum credit purchase
- Single-tenant deployment
- Prompt caching by default
- Auto-scaling
- Custom model support
- Enhanced data governance
- H100, H200, B200 GPUs
- Instant self-service provisioning
- API-first cluster management
- 25+ global locations
- Reserved capacity options
- Frontier AI Factory (1K-100K+ GPUs)
- Private cloud deployment
- Dedicated support
- Custom SLAs
- Volume discounts
Best For
AI Application Development
Build production AI applications using serverless inference APIs with access to the latest open-source models, OpenAI-compatible endpoints, and auto-scaling.
Model Fine-Tuning & Customization
Fine-tune large language models on proprietary data using LoRA or full-parameter training to create domain-specific AI solutions.
AI Research & Pre-Training
Leverage GPU clusters ranging from a few nodes to 100,000+ GPUs for frontier AI research, pre-training foundation models, and running large-scale experiments.
Cost-Optimized Batch Processing
Process large volumes of data through batch inference APIs at 50% reduced cost for tasks like content moderation, data extraction, or document analysis.
Multimodal Content Generation
Generate images, videos, and audio through unified APIs supporting 40+ models for creative applications, marketing content, and media production.
Featured In
Cerebras vs GPU Clouds: Is Wafer-Scale AI Inference Worth It? (2026)
The most complete AI platform for teams needing model flexibility, fine-tuning, and training alongside inference — choose Together when breadth and customization matter more than raw speed.
7 Best DeepSeek Alternatives for AI Builders (2026)
Best for AI builders who want model flexibility without vendor lock-in — the Swiss Army knife of open-weight model platforms
Best Serverless GPU Inference Platforms for AI Startups (2026)
Best overall serverless GPU platform for AI startups serving standard open-weight models — the default choice unless you have a specific reason to pick something else.
Best GPU Cloud Platforms with Per-Second Billing and No Egress Fees (2026)
Best for teams building on open-source LLMs — combines serverless token inference and dedicated GPU clusters under one zero-egress account.
Best Cloud GPU Platforms for Fine-Tuning Open-Source LLMs (2026)
Best for product teams who want a fine-tuned LLM without owning any of the training infrastructure.