Together AI
FeaturedFine-tune & serve open-weight models (Llama, Mistral, DeepSeek).
Together AI hosts and fine-tunes open-weight models at competitive rates — Llama, Mistral, Qwen, DeepSeek, and others. Strong choice when you want open weights with serverless ergonomics.
Pros
- ✅ Wide open-model catalogue
- ✅ Competitive inference pricing
- ✅ Fine-tune + serve in one place
Cons
- ⚠️ Latency varies by model
- ⚠️ Less polish than OpenAI
Use cases
open modelsfine-tuninginference
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Together AI vs OpenAI Fine-tuning
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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
OpenAI Fine-tuning
Fine-tuning · GPT-4o-mini / GPT-3.5
8.4
Fine-tune GPT-4o-mini and friends on your own data.
Paid· Training $25/1M tokens; usage at standard ratesstyleformat
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