OpenAI Fine-tuning
Fine-tune GPT-4o-mini and friends on your own data.
OpenAI's fine-tuning offering — upload a JSONL of examples, get a custom model with your style, format, or domain knowledge baked in. Now supports vision fine-tuning too.
Pros
- ✅ Easiest fine-tuning UX
- ✅ Vision FT now supported
- ✅ Works inside the OpenAI ecosystem
Cons
- ⚠️ Pricier than open-model FT
- ⚠️ No weights export
Use cases
styleformatdomain knowledge
Compare with similar tools
All in Fine-tuning →Compare
OpenAI Fine-tuning vs Together AI
Side-by-side breakdown
Compare
OpenAI Fine-tuning vs Modal
Side-by-side breakdown
Compare
OpenAI Fine-tuning vs Replicate
Side-by-side breakdown
Together AI
FeaturedFine-tuning
8.6
Fine-tune & serve open-weight models (Llama, Mistral, DeepSeek).
Paid· Pay-per-token; fine-tuning per-tokenopen modelsfine-tuning
Modal
Fine-tuning
8.7
Serverless GPUs and infra for training & serving ML.
Freemium· Free $30/mo credits; pay-as-you-goserverless GPUfine-tuning
Replicate
Fine-tuning
8.5
One-API platform for running and fine-tuning open-source models.
Paid· Pay-per-second of GPUmodel hostingfine-tuning
Anyscale
Fine-tuning
7.9
Ray-powered platform for training, serving, and scaling LLMs.
Paid· Enterprise/contact salesdistributed trainingRay
Lamini
Fine-tuning
7.7
Memory-tuning platform for grounding LLMs in your facts.
Paid· Enterprise pricingenterprise FTfactual recall