TrueFoundry Models

A comprehensive, community-maintained registry of AI/LLM model configurations. This repository provides standardized model metadata including pricing, features, and token limits across all major AI providers.

Why Use This?

LLM model configs change often — prices drop, features expand, limits shift. This repository provides up-to-date information across providers and makes updating stale data easy.

• Unified Schema — Consistent model configuration format across 17 providers
• Up-to-Date Pricing — Current cost information for input/output tokens, batch processing, and caching
• Feature Tracking — Know exactly what each model supports (vision, tools, structured output, etc.)
• Open Source — Community-driven updates ensure accuracy and coverage

Supported Providers

Provider	Models	Description
OpenAI	81	GPT-4, GPT-4o, GPT-5, o1, o3, DALL-E, Whisper, TTS
Anthropic	21	Claude 3, Claude 3.5, Claude 4
AWS Bedrock	139	Claude, Llama, Titan, Mistral on AWS
Azure OpenAI	77	OpenAI models on Azure
Azure AI Foundry	65	Azure AI models
Google Vertex AI	110	Gemini, PaLM on GCP
Google Gemini	25	Gemini Pro, Ultra, Flash
Mistral AI	37	Mistral, Mixtral, Codestral
Cohere	16	Command, Embed models
Groq	14	Fast inference models
Together AI	39	Open source model hosting
DeepInfra	67	Open source model hosting
Perplexity	25	Search-augmented models
Cerebras	8	Fast inference models
Databricks	28	Databricks-hosted models
SambaNova	16	Enterprise AI models
AI21	13	Jamba models

Installation

Direct Clone

git clone https://github.com/truefoundry/models.git

Model Configuration Schema

Each model YAML file follows this schema:

# Required
model: gpt-4o                          # Model identifier

# Pricing
costs:
  input_cost_per_token: 0.0000025
  output_cost_per_token: 0.00001
  cache_read_input_token_cost: 0.00000125

# Token limits
limits:
  max_input_tokens: 128000
  max_output_tokens: 16384

# Features (array of strings)
features: [chat, vision, function_calling, tools]

# Metadata
mode: chat
original_provider: openai
is_deprecated: false

Directory Structure

providers/
├── <provider>/
│   ├── default.yaml        # Default params for all models under this provider
│   ├── <model>.yaml
│   └── ...

Example:

providers/
├── openai/
│   ├── default.yaml
│   ├── gpt-4o.yaml
│   ├── gpt-4o-mini.yaml
│   └── ...
├── anthropic/
│   ├── default.yaml
│   ├── claude-3-5-sonnet.yaml
│   └── ...
└── ...

Contributing

We welcome contributions! Please see our Contributing Guide for details.

Quick Start

1. Clone the repository
2. Create a new branch (git checkout -b add-new-model)
3. Add or update model configurations
4. Validate your YAML files
5. Submit a pull request

Adding a New Model

# Copy an existing model as a template
cp providers/openai/gpt-4o.yaml providers/openai/new-model.yaml

# Edit with your model's configuration
# Submit a PR!

Updating Pricing

Model pricing changes frequently. If you notice outdated pricing:

1. Check the provider's official pricing page
2. Update the relevant YAML file
3. Submit a PR with a link to the source

Validation

Validate your YAML files before submitting:

# Using Python
python -c "import yaml; yaml.safe_load(open('providers/openai/gpt-4o.yaml'))"

# Using yq
yq eval '.' providers/openai/gpt-4o.yaml

License

This project is licensed under the MIT License - see the LICENSE file for details.