Together AI
Full-Stack AI Native Cloud for Open-Source Model Inference
by Together Computer, Inc. · San Francisco, CA, USA · Founded 2022
What is Together AI?
Together AI is a full-stack cloud platform built for running, fine-tuning, and training open-source AI models at production scale. It offers serverless inference across 200+ models — including DeepSeek, Llama, Qwen, and Gemma families — with an OpenAI-compatible API.
The platform provides dedicated GPU endpoints on NVIDIA H100, H200, and B200 hardware, async Batch API processing for up to 30 billion tokens, and managed fine-tuning with LoRA and DPO support.
Backed by foundational research like FlashAttention and speculative decoding, Together AI delivers 2x faster inference and up to 60% lower costs compared to standard cloud providers.
Together AI — Full-Stack AI Native Cloud for Open-Source Model Inference Whether you're evaluating Together AI for your team or comparing it to alternatives in the AI Business Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.
Together AI Demo Video
Key Features 8
Who Is Together AI For
Pros & Cons
- Research-Backed Inference Optimization
- Extensive Open-Source Model Catalog
- Flexible Pay-Per-Token Pricing
- SOC 2 Type 2 Certified
- Requires Developer Technical Expertise
- No Native GUI Playground
- Complex Pricing Structure Navigation
Frequently Asked Questions
5 questionsTogether AI hosts 200+ open-source models including DeepSeek V3 and R1, Llama 3.3 and 4, Qwen3 series, Gemma 4, FLUX image models, Kling video models, and speech models like Whisper and Cartesia Sonic. New models are added regularly as they become available.
Yes, Together AI provides an OpenAI-compatible API, meaning developers can switch from OpenAI to Together AI by changing the base URL and API key. Existing code using the OpenAI Python or TypeScript SDK works with minimal modification.
Together AI supports supervised fine-tuning (SFT) and direct preference optimization (DPO) with both LoRA and full fine-tuning options. Pricing is per million tokens processed. Supported models include DeepSeek, Llama, Qwen, and GLM families, with no training infrastructure to manage.
Together AI offers NVIDIA H100 80GB, H200 141GB, and B200 180GB GPUs for dedicated endpoints. On-demand pricing starts at $3.99/hr for H100 and $9.95/hr for B200. Reserved commitments of 7-180+ days offer discounted rates.
Together AI offers a Zero Data Retention (ZDR) mode that can be enabled in privacy settings. When active, prompts, model responses, and submitted content are not stored or used for model training. Users retain full control over data handling preferences.
Who is Together AI for?
Together AI is most useful for AI Engineers, ML Researchers, Backend Developers and AI Startup Teams.
Together AI pricing
Together AI is a paid product. Pricing: Pay-as-you-go. For the current tier breakdown and any limits, see the pricing section above or check the vendor's pricing page directly — limits and prices change.
What's New
Automatic model redirect from GLM-4.6 to GLM-4.7 and Mistral-7B-Instruct-v0.3 to Ministral-3-14B-Instruct-2512 as same-lineage upgrades.
Updated pricing for google/gemma-3n-E4B-it model: input price changed from $0.02 to $0.06, output price changed from $0.04 to $0.12 per 1M tokens.
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Together AI Pricing
Pay-as-you-go
- 200+ Open-Source Models Available
- Starting At $0.03/1M Input Tokens
- OpenAI-Compatible API Endpoint
- Batch API For Async Workloads
- Single-Tenant GPU Instances
- H100, H200, And B200 Hardware Options
- Guaranteed Performance And Full Control
- Reserved Pricing From $2.95/hr
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