OpenPipe
automation
Generative AI
freemium
intermediate setup
Last verified Mar 11, 2026Best For
Developers and companies looking to replace expensive LLM calls (like GPT-4) with smaller, faster, and cheaper fine-tuned models.
Not Ideal For
Non-technical users looking for a chat interface or those without existing API traffic to record.
Pros & Cons
- Significantly reduces latency compared to GPT-4
- Drastically lowers API costs by using smaller models
- Seamless SDK that acts as a drop-in replacement for OpenAI
- Automated data collection and dataset curation
- High performance on specialized tasks through fine-tuning
- Requires an existing stream of data/requests to be effective
- Initial setup requires developer knowledge of SDKs
- Not suitable for general-purpose reasoning tasks
Key Features
Data Collection
Automatically captures and logs your existing OpenAI requests to build a training dataset.
One-Click Fine-Tuning
Train specialized models like Mistral or Llama on your specific data with a single click.
Drop-in SDK
Replace the OpenAI client with OpenPipe's SDK by changing just one line of code.
Model Evaluation
Compare the performance of your fine-tuned model against the original base model side-by-side.
Dataset Management
Tools to filter, deduplicate, and clean your captured logs to ensure high-quality training data.
Pricing Breakdown
- pro
- Custom pricing for high-volume users with dedicated support and higher rate limits.
- free
- Free to start with limited data collection and evaluation credits.
- annual
- Volume discounts available for large-scale enterprise commitments.
- starter
- Usage-based pricing starting at $0 for small datasets; pay for training and hosting.
- enterprise
- Custom contracts with VPC deployment options and SLA guarantees.
⚠️ Pricing is subject to change. Always verify current pricing on the tool's official website before purchasing.
Free Tier
- storage
- Up to 2,000 logged requests
- features
- Access to basic fine-tuning and evaluation tools
- requests
- Limited log storage and evaluation runs
Integrations
OpenAI
Meta Llama
Mistral AI