Together AI
Free tierThe AI Native Cloud — full-stack platform for inference, compute, and model shaping
Key strengths
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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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