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TrueFoundry Models

License: MIT PRs Welcome

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 24 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
OpenRouter 930 Unified API for open source models
Google Vertex AI 431 Gemini, PaLM on GCP
Together AI 384 Open source model hosting
Microsoft Foundry 299 OpenAI and Foundry catalog models on Microsoft Foundry
DeepInfra 262 Open source model hosting
Azure OpenAI 230 OpenAI models on Azure
AWS Bedrock 229 Claude, Llama, Titan, Mistral on AWS
Azure AI Foundry 220 Azure AI models
OpenAI 151 GPT-4, GPT-4o, GPT-5, o1, o3, DALL-E, Whisper, TTS
Deepgram 143 Speech-to-text and text-to-speech models
Mistral AI 103 Mistral, Mixtral, Codestral
xAI 92 Grok models
Google Gemini 80 Gemini Pro, Ultra, Flash
Databricks 68 Databricks-hosted models
Aws Bedrock Mantle 55
Cohere 39 Command, Embed models
SambaNova 30 Enterprise AI models
Anthropic 27 Claude 3, Claude 3.5, Claude 4
Perplexity 24 Search-augmented models
Groq 23 Fast inference models
Wafer 17
AI21 12 Jamba models
ElevenLabs 11 Voice synthesis and text-to-speech models
Cerebras 6 Fast inference models

Installation

Direct Clone

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

Model Configuration Schema

Each model YAML file follows this schema (validated by CUE):

# Required
model: gpt-5.4-mini-2026-03-17        # Model identifier used by the provider's API
mode: chat                             # Primary capability (chat, embedding, image, text_to_speech, etc.)

# Pricing — array of cost entries, each with a region ("*" for global)
costs:
    - region: "*"
      input_cost_per_token: 7.5e-7
      output_cost_per_token: 0.0000045
      cache_read_input_token_cost: 7.5e-8

# Token and context window limits
limits:
    context_window: 400000
    max_output_tokens: 128000

# Feature flags
features: [function_calling, prompt_caching, structured_output, system_messages]

# Input/output modalities
modalities:
    input: [text, image]
    output: [text]

# Extended thinking / reasoning support
thinking: true

# Documentation or pricing source URLs
sources:
    - https://developers.openai.com/api/docs/pricing

See the Contributing Guide for the full list of fields, valid values, and more examples.

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! Whether it's adding a new model, updating pricing, or fixing outdated information — see the Contributing Guide for details on the schema, examples, and PR process.

License

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

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Community-maintained registry of AI/LLM model configurations - pricing, features, and limits across 19 providers and 1000+ models

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