AI-native cloud for inference, fine-tuning, and dedicated GPU clusters, offering 200+ open-source and frontier-class models behind an OpenAI-compatible API plus reserved H100/H200/B200 capacity.
AI-native cloud for inference, fine-tuning, and dedicated GPU clusters, offering 200+ open-source and frontier-class models behind an OpenAI-compatible API plus reserved H100/H200/B200 capacity.
Together AI is one of the largest independent inference providers focused on open-weight models. Its catalog spans 200+ models — Llama 3 and 4, Mixtral, Qwen, DeepSeek, Mistral, Gemma, FLUX image models, plus embedding and rerank models — all served behind an OpenAI-compatible API with serverless pay-per-token pricing. Beyond serverless, Together sells two adjacent products that distinguish it from pure inference clouds: dedicated endpoints (you pin a model to a private GPU pool with predictable throughput and no rate limits) and GPU Clusters (reserved H100, H200, B200, and GB200 instances with InfiniBand interconnect, sold as the Together Instant Cluster product for training, fine-tuning, and large-scale batch inference). Together's fine-tuning service supports LoRA and full-parameter tuning on most catalog models, with deployment back to a serverless or dedicated endpoint in one step.
Was this helpful?
Together AI is highly regarded for democratizing access to powerful open-source models through production-ready infrastructure. Users consistently praise the dramatic cost savings (5-20x less than GPT-4) while maintaining quality, plus the superior performance optimizations that make open-source models competitive with proprietary alternatives. The OpenAI-compatible API makes migration seamless. Some users note occasional capacity constraints and the inherent complexity of choosing optimal models for specific use cases.
Per-million-token pricing per model (open models from sub-$0.20/M input typical)
Per-hour GPU pricing for pinned model deployments
Reserved H100/H200/B200/GB200 capacity, hourly and contracted
Custom
Ready to get started with Together AI?
View Pricing Options →Together AI works with these platforms and services:
We believe in transparent reviews. Here's what Together AI doesn't handle well:
Weekly insights on the latest AI tools, features, and trends delivered to your inbox.
AI Model Hosting & Inference
Production inference platform for open-weight LLMs, multimodal models, and custom fine-tunes — known for very fast serving (FireAttention/FireOptimizer), reliable function calling, and JSON mode at low per-token prices.
AI Model Hosting & Inference
AI inference cloud built on Groq's own LPU (Language Processing Unit) chips that serves open-weight LLMs, Whisper, and vision models at the lowest latency in the market, with an OpenAI-compatible API.
AI Model Hosting & Inference
Run, fine-tune, and deploy thousands of community AI models with a single HTTP API — covering image, video, audio, language, and embedding models, billed per-second of GPU time.
AI Infrastructure
Anyscale is the managed Ray platform from the original creators of Ray, providing production-scale infrastructure for distributed AI workloads — model training, batch inference, RAG pipelines, agent orchestration, and reinforcement learning — running on any cloud with autoscaling GPU and CPU clusters.
No reviews yet. Be the first to share your experience!
Get started with Together AI and see if it's the right fit for your needs.
Get Started →Take our 60-second quiz to get personalized tool recommendations
Find Your Perfect AI Stack →Explore 20 ready-to-deploy AI agent templates for sales, support, dev, research, and operations.
Browse Agent Templates →