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Together AI Inference API
NewVerified
Unified API for open-source and proprietary LLMs
Overview
Developer platform providing unified API access to multiple language models including Llama, Mistral, and custom models with competitive pricing and fine-tuning capabilities
Pros
- Multiple model options
- Competitive pricing
- Fine-tuning available
- Low latency
✕ Cons
- Requires payment
- Smaller ecosystem than major providers
- Less brand recognition
Key Features
Multi-model support
Fine-tuning
Batch processing
Streaming responses
Use Cases
Cost-effective LLM deploymentCustom model fine-tuningMulti-model applications
Best For
ML Engineers & DevelopersStartups Building LLM AppsEnterprise AI TeamsResearchers & Data Scientists
Frequently Asked Questions
What is the pricing model for Together AI Inference API?▾
Together AI offers pay-as-you-go pricing based on tokens consumed, with competitive rates across different model tiers. Pricing varies by model selection, with discounts available for higher volume usage and fine-tuning projects.
How easy is it to get started with Together AI?▾
Setup is straightforward for developers—you get API keys, authenticate requests, and can start making inference calls within minutes using REST or Python SDK. Documentation and code examples are provided, though familiarity with APIs and LLMs helps.
What integrations and API capabilities does Together AI offer?▾
The platform provides REST APIs, Python/Node.js SDKs, and supports batch processing and streaming responses for real-time applications. It also integrates with popular frameworks and supports custom fine-tuning pipelines.
What are the main limitations of Together AI Inference API?▾
Context window lengths vary by model, and fine-tuning requires technical expertise and additional costs. Availability may depend on model popularity and regional infrastructure.
What is the ideal use case for Together AI?▾
It's best for developers and teams building production applications that need flexibility across multiple LLMs, want to fine-tune models for specific tasks, or require low-latency inference at scale.
Pricing Plans
Serverless InferenceMost Popular
Custom
- Pay-per-token pricing
- High-performance inference APIs
- Support for chat, vision, audio, and video models
- Auto-scaling infrastructure
Batch Inference
Custom
- 50% lower cost for most models
- Process billions of tokens
- Optimized for batch workloads
- Asynchronous processing
Dedicated Model Inference
Custom
- Custom hardware deployment
- Guaranteed performance
- Dedicated endpoints
- Low latency inference
Enterprise
Custom
- Custom infrastructure at scale
- AI Factory for frontier-scale deployment
- Dedicated support team
- Custom model containers
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