Fine-tuning for production apps
Train higher-quality, faster models that continuously improve.
90%
Fewer errors in production
5min
To start collecting training data
8x
Cheaper than GPT-4o
Higher quality, lower costs
Fine-tuned Llama 3.2 models consistently outperform GPT-4o, at a fraction of the cost.
Shorten your deployment loop. Save time and money.
Keep your datasets, models and evaluations in one place.
Capture Data
Automatically record LLM requests and responses.
Train Models
Two clicks to train a state-of-the-art model on your data.
Automate Deployment
We serve your model on our managed endpoints that scale to millions of requests.
Evaluate & Compare
Use LLM-as-judge evals to quickly gauge performance.
What our users say
Openpipe increased our inference speed by 3x compared to GPT4-turbo while reducing cost by >10x. It’s a no-brainer for any company that uses LLMs in prod.
David Paffenholz
CEO & Co-founder • Juicebox
We used OpenPipe to process a huge dataset we needed classified. GPT-4 would have cost us $60K, but with OpenPipe it was only a few hundred dollars. The process was super simple and results were great. The OpenPipe team is the real deal and really knows their stuff.
Sahil Chopra
Co-founder • Linum
InVintory processes millions of wine labels every month, and GPT-4 was prohibitively expensive to continue using. OpenPipe allowed us to train a model that is just as accurate at 1/8th the cost, I’d highly recommend them for fine-tuning task specific models!
Sam Finan
CTO • Invintory
OpenPipe has been huge for us! They’ve made it easy and cheap to deploy fine tunes and rapidly iterate on them. We’ve deployed ~10 fine tunes on OpenPipe in the last few months and have been able to ship some big improvements to our quest + inventory features because of them. Their support has also been amazing!
Will Liu
Friends & Fables
For us, the biggest benefit was lowering time to production. OpenPipe lets us focus on our IP and use the platform to train, review and deploy models in a few clicks with confidence.
Alex Rodriguez
Tech Lead • Axis
We’re using OpenPipe to train our custom voice bots. Our fine-tuned models are much lower latency than OpenAI’s, so we’re able to provide a much better user experience for our customers
Pablo Palafox
Co-founder • Happy Robot
Flexible Plans
For more details visit our pricing page.
Developer
Per-Token
Designed for quick onboarding and high quality with minimal effort
Plan includes:
Autoscaling
Metrics & Analytics
50k training rows per dataset
Up to 50 fine-tuned models
From $4 per 1M tokens for training and $0.40 and $0.45 input and output.
Business
Enterprise
Perfect for larger scale use by service oriented companies and businesses
Contact Us
Everything in Per-Token plus:
HIPAA, SOC 2, GDPR compliance
Custom relabeling techniques
Active Learning
500k training rows per dataset
Discounted token rates
Unlimited fine-tuned models
Pricing Page
Start collecting with OpenPipe today
Fine-tune the right way
Get Started
Easy Integration
Simply update your SDK import statement and add an OpenPipe API key. Replace prompts with models in minutes, not weeks.
Own Your Weights
Own your own weights when you fine-tune open-source models and deploy anywhere you need.
Read our latest posts to find out more about what we've been working on lately!
Visit Our Blog
Jun 20th, 2024
Introducing DPO Support on OpenPipe
5 minutes
We're thrilled to announce that OpenPipe is the first fine-tuning platform to support Direct Preference Optimization (DPO)!
Jun 20th, 2024
OpenPipe Mixture of Agents: Outperform GPT-4
10 minutes
We’re excited to announce a new family of “Mixture of Agents” models optimized for generating synthetic training data.
Mar 25th, 2024
We Raised $6.7M to Replace GPT-4 with Custom Models
3 minutes
Today I'm excited to announce the close of our $6.7M seed round.
