📖 The AI Tool Bible

Replicate vs Together AI Fine-tuning

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

 
Replicate
Fine-tuning
Together AI Fine-tuning
Fine-tuning
TaglineOne-API platform for running and fine-tuning open-source models.Managed fine-tuning platform for open-source LLMs and vision models with LoRA, full fine-tuning, and RL support.
CategoryFine-tuningFine-tuning
PricingPaid· Pay-per-second of GPU timePaid· Usage-based; cost estimator in-product, no public price list
ModelThousands of community + first-party modelsMulti-model (any Hugging Face open-source model)
Editorial score8.5 / 10—
Use cases
model hostingfine-tuningAPI access
llm-fine-tuningvision-fine-tuningreinforcement-learningtool-calling-trainingdomain-adaptation
Pros
  • One API, thousands of models
  • Easy fine-tuning of Llama, SD, Flux
  • Strong community
  • Predictable per-second pricing
  • 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
  • Per-second pricing can surprise
  • Hosted models vary in quality
  • No public pricing — cost estimator only after signup
  • Closed-source platform despite open-weight focus
  • Overkill for hobbyists who just want a quick LoRA
Websitereplicate.comwww.together.ai
Pick Replicate if
  • ✅ One API, thousands of models
  • ✅ Easy fine-tuning of Llama, SD, Flux
  • ✅ Strong community
  • ✅ Predictable per-second pricing
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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