Feature

Fine-Tuning & Custom Models

Adapt hosted models to your own data.

11 providers 58 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 Leonardo.AI, ChatGPT, Replicate, Mistral AI, Deepgram.

Providers

Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.

Strong 3 Solid coverage with minor gaps
Leonardo.AILeonardo.AI is an Australian generative-AI company (acquired by Canva in July 2024) offering a Production A...14 APIs59.4ChatGPTOpenAI's ChatGPT API for conversational AI and language model interactions.2 APIs57.3ReplicateReplicate lets you run machine learning models in the cloud with a simple API. Thousands of open-source mod...1 API55.6
Developing 4 Usable, with meaningful gaps to close
Mistral AIMistral AI provides state-of-the-art large language models and AI APIs for developers and enterprises.13 APIs53.9DeepgramDeepgram is an enterprise voice AI platform that provides speech-to-text, text-to-speech, and voice agent A...3 APIs49.2Amazon NovaAmazon Nova is a new generation of state-of-the-art foundation models from Amazon that deliver a compelling...1 API45.7DoclingDocling is an open-source toolkit for parsing diverse document formats — PDF, DOCX, PPTX, XLSX, HTML, image...2 APIs41.3
Thin 2 Limited public surface area
cohereGenerates a text response to a user message and streams it down, token by token.9 APIs35.4CrestaCresta (legally Cresta Intelligence, Inc.) is a Palo Alto, California enterprise Customer Experience AI com...1 API30.1
Emerging 2 Early or largely undocumented
Apache OpenNLPApache OpenNLP is a machine learning based toolkit for the processing of natural language text. It supports...10 APIs24.0Refact.aiRefact.ai is an open-source, local-first AI coding assistant and autonomous software-engineering agent buil...2 APIs17.9

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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  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
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