Together AI
Run, fine-tune, and scale open-source models — start on cheap shared inference and graduate to dedicated GPUs (including on-demand B200s) as traffic grows.
Alternatives
Overview
Together AI is a cloud platform for running, fine-tuning, and deploying open-source AI models, offering an API-first approach to the full open-weight model lifecycle at competitive pricing compared to closed-model providers. Its inference catalog includes 200+ models across major open families, Llama, Mistral, Qwen, DeepSeek, Stable Diffusion, FLUX, accessible through an OpenAI-compatible API that enables switching to open models without application code changes. Together's fine-tuning service handles supervised fine-tuning, LoRA fine-tuning, and full model fine-tuning on custom datasets, with managed training infrastructure that eliminates the need for GPU cluster management. The fine-tuned model is then deployable through the same inference API for seamless production use.
Together's pricing undercuts OpenAI and Anthropic on comparable capability tiers by 5–10x in many cases, making it cost-effective for high-volume inference that would be prohibitively expensive on closed-model APIs. The Playground provides model comparison and prompt testing across the full catalog. Dedicated endpoints provide reserved capacity for production applications with guaranteed throughput. Together is commonly used by companies that want frontier-quality inference at open-model prices, teams fine-tuning domain-specific models for specialized applications, and developers prototyping with multiple model families before committing to a production architecture.
Key Features
- Inference for 200+ open models
- Fine-tuning and training
- OpenAI-compatible API
- Dedicated endpoints
- • Broad open-model catalog
- • Scales for production
- • Competitive pricing
- • Usage costs add up
- • Less consumer-facing
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