Revolutionizing AI Processing: Together AI’s New Batch API
By James Ding
Published on June 11, 2025
In a groundbreaking development for businesses and developers alike, Together AI has launched an innovative Batch API designed to streamline the processing of large language model (LLM) requests. This new service promises a staggering 50% cost reduction compared to traditional real-time inference methods, making it an indispensable tool in today’s fast-paced digital landscape.
Why Choose Batch Processing?
The power of batch processing lies in its efficiency. Ideal for tasks that don’t necessitate immediate responses—like synthetic data generation or offline summarization—this asynchronous method allows users to leverage significant cost savings. By scheduling these tasks during off-peak hours, companies can effectively manage their budgets without sacrificing output reliability. Most batch requests are processed within hours, while a generous maximum window allows for completion within 24 hours.
Key Advantages of the Batch API
50% Cost Savings
One of the standout features of Together AI’s new offering is its slashed costs for non-urgent workloads. Users now have the opportunity to significantly scale their AI applications without the financial strain typically associated with real-time processing.
Large Scale Processing
With the capability to handle up to 50,000 requests in a single submission, businesses can efficiently manage extensive data needs. The Batch API is designed with dedicated rate limits, ensuring that each batch operation can function seamlessly alongside regular usage.
Effortless Integration
The simplicity of the Batch API is another compelling benefit. Users can submit requests in JSONL format, and with real-time progress tracking, you’ll never be left in the dark about the status of your jobs. Results are made available for download immediately upon completion.
Supported Models
Versatility is key. The Batch API is compatible with 15 advanced models, including the deepseek-ai and meta-llama series, specifically engineered to tackle a variety of intricate challenges. This breadth of model support positions the API as a robust option for numerous applications.
How to Get Started
Utilizing the Batch API is straightforward. Here’s how:
- Prepare Your Requests: Organize requests in a JSONL file, ensuring each has a unique identifier.
- Upload & Submit: Use the Files API to upload your batch and kick off the job.
- Monitor Progress: Check the job status as it moves through different processing stages.
- Download Results: Retrieve structured results, with any errors clearly documented for your review.
Rate Limits & Scale
Understanding the operational limits is crucial for effective use. The Batch API allows up to 10 million tokens per model and 50,000 requests per batch file, with a total input size capped at 100MB. This architecture ensures flexibility and scalability for diverse needs.
Pricing and Best Practices
Users can take advantage of an introductory 50% discount without the burden of upfront commitments. For optimal performance, aim for batch sizes between 1,000 and 10,000 requests. Remember to choose your model based on task complexity and check for updates every 30-60 seconds.
Final Thoughts
For those ready to embrace the future of AI processing, Together AI’s Batch API represents an exciting opportunity. To get started, upgrade to the latest together Python client, explore the comprehensive Batch API documentation, and dive into example cookbooks available on our platform.
At Extreme Investor Network, we’re committed to keeping you at the forefront of groundbreaking technology like this. Stay tuned for more updates that can elevate your investment strategies and technology implementation.
By integrating cutting-edge technology with cost-saving opportunities, Together AI not only paves the way for more efficient machine learning applications but also empowers users to innovate without financial limitations. Don’t miss the chance to leverage this powerful tool in your own projects!