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📖 The AI Tool Bible

OpenAI Fine-tuning vs Together AI Fine-tuning

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 OpenAI Fine-tuning logo
OpenAI Fine-tuning
Fine-tuning
Together AI Fine-tuning logo
Together AI Fine-tuning
Fine-tuning
TaglineFine-tune GPT-4o-mini and friends on your own data.Managed fine-tuning platform for open-source LLMs and vision models with LoRA, full fine-tuning, and RL support.
CategoryFine-tuningFine-tuning
PricingPaid· Basic: $10 · Pro: $25 · Enterprise: Contact salesPaid· Usage-based; cost estimator in-product, no public price list
ModelGPT-4o-mini / GPT-3.5Multi-model (any Hugging Face open-source model)
Editorial score8.4 / 108.1 / 10
Use cases
styleformatdomain knowledge
llm-fine-tuningvision-fine-tuningreinforcement-learningtool-calling-trainingdomain-adaptation
Pros
  • Easiest fine-tuning UX
  • Vision FT now supported
  • Works inside the OpenAI ecosystem
  • Same infra/SLA as base models
  • Supports any open-source model on Hugging Face Hub
  • LoRA, full fine-tune, RL, and tool-calling in one platform
  • Vision fine-tuning on raw image data (Llama-4, Qwen3-VL)
  • SOC 2 Type II + ISO 27001 with regional data residency
  • Direct deploy to Together's inference stack after training
Cons
  • Pricier than open-model FT
  • No weights export
  • No public pricing — cost estimator only after signup
  • Closed-source platform despite open-weight focus
  • Overkill for hobbyists who just want a quick LoRA
Websiteplatform.openai.comwww.together.ai
Pick OpenAI Fine-tuning if
  • ✅ Easiest fine-tuning UX
  • ✅ Vision FT now supported
  • ✅ Works inside the OpenAI ecosystem
  • ✅ Same infra/SLA as base models
Pick Together AI Fine-tuning if
  • ✅ Supports any open-source model on Hugging Face Hub
  • ✅ LoRA, full fine-tune, RL, and tool-calling in one platform
  • ✅ Vision fine-tuning on raw image data (Llama-4, Qwen3-VL)
  • ✅ SOC 2 Type II + ISO 27001 with regional data residency
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