OpenAI Fine-tuning vs Together AI
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
OpenAI Fine-tuning Fine-tuning | Together AI Fine-tuning | |
|---|---|---|
| Tagline | Fine-tune GPT-4o-mini and friends on your own data. | Fine-tune & serve open-weight models (Llama, Mistral, DeepSeek). |
| Category | Fine-tuning | Fine-tuning |
| Pricing | Paid· Training $25/1M tokens; usage at standard rates | Paid· Pay-per-token; fine-tuning per-token |
| Model | GPT-4o-mini / GPT-3.5 | — |
| Editorial score | 8.4 / 10 | 8.6 / 10 |
| Use cases | styleformatdomain knowledge | open modelsfine-tuninginference |
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| Website | platform.openai.com | www.together.ai |
Pick OpenAI Fine-tuning if
- ✅ Easiest fine-tuning UX
- ✅ Vision FT now supported
- ✅ Works inside the OpenAI ecosystem
Pick Together AI if
- ✅ Wide open-model catalogue
- ✅ Competitive inference pricing
- ✅ Fine-tune + serve in one place