Overview
Together AI provides fast, affordable inference for open-source foundation models. The platform hosts hundreds of open models from the community, offering API access at prices significantly lower than proprietary alternatives. Together emphasizes performance optimization, making open models run faster and cheaper while maintaining quality.
Founded by researchers from institutions like Stanford and Meta, Together has optimized the entire inference stack for open models. They provide both public API access and private deployments, making it easy to run models like Llama, Mixtral, and Qwen at scale without managing infrastructure.
Key Features
**200+ Models**: Comprehensive open model library**Fast Inference**: Optimized for performance**Low Prices**: 5-10x cheaper than proprietary models**Custom Deployments**: Private model hosting**Fine-Tuning**: Train on your data**Latest Models**: Quick access to new releases**Simple API**: OpenAI-compatible endpoints**No Vendor Lock-In**: Use open models freelyWhen to Use Together AI
Together AI is ideal for:
Cost-conscious applications at scaleTeams wanting to use open-source modelsApplications where good-enough quality sufficesExperimentation with multiple modelsOrganizations avoiding proprietary model lock-inSelf-hosting alternative without infrastructure managementPros
Significantly cheaper than proprietary modelsAccess to latest open models quicklyFast inference performanceNo vendor lock-in with open modelsSimple OpenAI-compatible APICan fine-tune modelsPrivate deployment optionsGood for experimentationCons
Open models less capable than GPT-4/ClaudeQuality varies across modelsLess support than major providersNewer platform with less track recordDocumentation can be limitedModel selection can be overwhelmingSome models may be deprecated quicklyCommunity support variesPricing
**Llama 3.1 70B**: $0.88 per 1M tokens**Mixtral 8x22B**: $1.20 per 1M tokens**Qwen 2.5 72B**: $1.20 per 1M tokens**Fine-Tuning**: Starting at $3/hour