Feature
Fine-Tuning & Custom Models
Adapt hosted models to your own data.
11 providers
97 APIs
10 declared variants
Customers can fine-tune, adapt, or train custom models on their data within the platform. Matters when prompt engineering alone cannot hit the required accuracy.
11 API providers on the APIs.io network offer fine-tuning & custom models. The highest-rated are ChatGPT, Mistral AI, Replicate, Leonardo.AI, Deepgram.
Providers
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 3 Complete, well-documented, and agent-ready
ChatGPT
OpenAI's ChatGPT API for conversational AI and language model interactions.
Mistral AI
Mistral AI provides state-of-the-art large language models and AI APIs for developers and enterprises.
Replicate
Replicate lets you run machine learning models in the cloud with a simple API. Thousands of open-source mod...
Strong 2 Solid coverage with minor gaps
Developing 3 Usable, with meaningful gaps to close
Amazon Nova
Amazon Nova is a new generation of state-of-the-art foundation models from Amazon that deliver a compelling...
cohere
Generates a text response to a user message and streams it down, token by token.
Docling
Docling is an open-source toolkit for parsing diverse document formats — PDF, DOCX, PPTX, XLSX, HTML, image...
Thin 1 Limited public surface area
What Providers Actually Declared
This feature is a canonical term. These are the free-text strings
providers wrote in their own apis.yml that map onto it.
Custom Model TrainingCustom Models and Custom Elements — LoRA-style fine-tuning on user-uploaded datasetsCustom model training (Enterprise)Fine-TuningFine-tuning for Command and AyaFine-tuning on customer-proprietary transcripts plus purpose-built synthetic datasetsFine-tuning service for select modelsLLM fine-tuning on company codebase (Refact, StarCoder, DeepSeek-Coder, CodeLlama variants)Synthetic data generation via docling-sdg for fine-tuningTraining service for fine-tuning
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