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Together AI

Free tier

The AI Native Cloud — full-stack platform for inference, compute, and model shaping

Free tier available·Technical·Powered by Open-source models (e.g., DeepSeek, Gemma, Llama, Qwen, GLM, MiniMax, Kimi)·API available

Key strengths

Industry-leading inference speed (31%+ more TPS than next-fastest OSS engine)Full-stack platform: inference, compute, fine-tuning, storage, and sandboxesCutting-edge in-house research (FlashAttention, ThunderKittens, ATLAS)Broad open-source model library with serverless and dedicated deployment options60% cost reduction via workload-specific optimization
Free tier + paid plans
San Francisco, USA
Founded 2022

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Recent changes

  • Models updated: Open-source models (e.g., DeepSeek, Gemma, Llama, Qwen, GLM, MiniMax, Kimi)
  • Plans updated: Usage-based pricing for serverless inference (per token), batch inference, provisioned throughput (token-based capacity with SLAs), dedicated model inference, and dedicated container inference. GPU compute clusters also available.
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Together AI — Technical Overview

Together AI is a full-stack AI cloud platform purpose-built for developers and ML engineers deploying open-source models in production. The platform offers:

  • Serverless inference billed per token, with no infrastructure management required
  • Provisioned throughput with token-based capacity reservations and SLAs for latency-sensitive workloads
  • Dedicated model and container inference for teams requiring isolated, customizable deployments
  • Batch inference at scale, supporting up to 30 billion tokens per model
  • Fine-tuning and model shaping pipelines for adapting open-source models to specific tasks
  • GPU compute clusters featuring H100, H200, B200, GB200, and GB300 hardware

Together AI's inference stack is backed by in-house research including FlashAttention, ATLAS, and ThunderKittens, delivering claimed performance gains of 2× faster inference and 60% lower cost versus comparable offerings.

Supported model families include DeepSeek, Gemma, Llama, Qwen, GLM, MiniMax, and Kimi. Integrations are available with CodeSandbox and PyTorch. Pricing is fully usage-based across all service tiers.

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