Together AI
What is Together AI?
Discover how Together AI can enhance your workflow
Key Capabilities
What makes Together AI powerful
Unified Model Access
Authenticate with API keys and call models via HTTP, enabling integration into existing services without provisioning GPUs or deploying separate model servers for each provider.
Per Model Billing
Use published rates by model and modality to forecast cost, then instrument your app to track usage so you can enforce budgets and evaluate model swaps with real traffic.
Rate Limit Control
Account tiers define throughput limits, so you can design retries, batching, and backpressure logic that respects the documented ceilings for text and media generation.
Fine Tuning Jobs
Run fine tuning workflows using documented jobs and balance requirements, then monitor status and evaluate outputs against test sets before shipping to production.
Key Features
What makes Together AI stand out
- Serverless inference API: Call hosted text and multimodal models with per unit billing so you can scale without managing GPUs
- Model catalog pricing: View published model rates and modality sections so cost estimation can be tied to a chosen model id
- Billing and credits: Start with a minimum credit purchase and track balances and limits so usage stays within budget rules
- Rate limit tiers: Qualification based tiers define request and media limits which helps plan throughput for production loads
- Fine tuning services: Offers documented fine tuning workflows with minimum balance requirements and job monitoring tools
- Dedicated infrastructure: Provides options for dedicated endpoints or clusters when you need isolated capacity and controls
- Developer docs: Documentation covers billing limits and operational details so teams can implement guardrails and monitoring
Use Cases
How Together AI can help you
- Prototype an API product: Integrate a single model endpoint for chat and iterate on prompts while tracking per request cost
- Model benchmarking: Swap model ids and compare latency and output quality under the same workload to select a stable baseline
- Image generation backend: Generate images via API for an app and enforce spend limits with credit based billing controls
- Video generation experiments: Test short video models for marketing clips and measure cost per output before scaling usage
- Fine tune for domain tone: Run a fine tuning job for internal style and evaluate improvements with controlled test sets at scale
- Operational guardrails: Implement rate limit aware retries and budget alerts so production traffic stays within set limits
Perfect For
ml engineers, backend developers, ai product teams, startup founders building ai apps, researchers running benchmarks, platform engineers managing api throughput, teams evaluating model costs
Plans & Pricing
Free trial / usage-based pricing
Visit official site for current pricing
Quick Information
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Frequently Asked Questions
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