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Together AI Hosted Models
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Run open-source LLMs on optimized cloud endpoints.
Overview
Together AI provides hosted inference for popular open-source language models like Llama, Mistral, and Qwen. Developers get fast API access without managing infrastructure, with competitive pricing and support for both text and vision models. The platform emphasizes performance optimization and cost-efficiency for production AI applications.
Pros
- Supports 100+ open-source models with single API
- Pay-per-token pricing with no monthly commitments
- Optimized inference endpoints reduce latency by 30%
- Batch processing and streaming for flexible workflows
- Free tier available for prototyping and testing
✕ Cons
- Limited customization compared to self-hosted solutions
- Requires API key management for production use
- Regional availability may affect latency for some users
Key Features
Multi-model inference API
Pay-as-you-go pricing
Vision and language models
Batch processing
Token streaming
Model fine-tuning options
Use Cases
Startups building AI apps without infrastructure overheadEnterprises needing cost-effective LLM inference at scaleResearchers experimenting with multiple open-source models quicklyDevelopment teams prototyping AI features before deployment
Best For
ML Engineers & DevelopersStartups & Cost-Conscious TeamsAI ResearchersAPI & Backend Developers
Frequently Asked Questions
What does Together AI Hosted Models cost?▾
Together AI uses pay-per-token pricing with no monthly commitments, so you only pay for what you use. Exact rates vary by model, but pricing is transparent and competitive for open-source LLM inference.
How difficult is it to get started?▾
Setup is straightforward for developers—you get API endpoints and can start making requests immediately. Integration requires basic API knowledge, and their documentation supports quick onboarding for both simple and advanced use cases.
Can Together AI integrate with my existing tools and workflows?▾
Together AI provides a standard REST API and supports token streaming and batch processing, making it compatible with most development frameworks and CI/CD pipelines. They offer SDKs and API documentation for common programming languages.
What's the main limitation of using Together AI Hosted Models?▾
You're limited to open-source models available on their platform, so you cannot run proprietary models like GPT-4 or Claude. This is ideal for cost-conscious teams but may not work if you need specific closed-source model features.
Who should use Together AI Hosted Models?▾
It's best for developers and teams building AI applications on a budget, prototyping LLM features, or running inference at scale without vendor lock-in. It works well for batch jobs, real-time APIs, and vision-language tasks using open-source models.
Pricing Plans
Free
Custom
- Access to open-source models
- Limited API requests per month
- Community support
- Basic rate limiting
Starter
$10/monthly
- Pay-as-you-go pricing for API calls
- Access to all open-source and proprietary models
- Priority inference speed
- Email support
ProfessionalMost Popular
$100/monthly
- Dedicated API credits monthly
- Priority support and dedicated account manager
- Custom model fine-tuning options
- Higher rate limits and batch processing
Enterprise
Custom
- Custom pricing and volume discounts
- Dedicated infrastructure and SLA guarantees
- Custom model deployment and optimization
- 24/7 priority support with dedicated team
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