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Ljubomir Buturovic
Ljubomir Buturovic

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llm-models: keeping up with LLM frontier model versions

Update (Nov 28, 2025)

The project has been published to PyPI! Installation is now much simpler than originally posted. The new post (original post preserved below):

The Problem

With the flurry of new LLMs published almost daily, it may be
confusing for developers to keep track of which exact models are
available through various API services at any given time. When Gemini 3 was released a couple of days ago, I could not find the correct model name for a while (turned out to be "gemini-3-pro-preview")

The Solution

I built (with Claude Code help) a simple CLI app to list available models for the major providers.

Usage


$ llm_models -h
usage: llm_models [-h] -p {OpenAI,Anthropic,xAI,GoogleAI,VertexAI} [-r REGION]

List available LLM models from various providers

options:
  -h, --help            show this help message and exit
  -p {OpenAI,Anthropic,xAI,GoogleAI,VertexAI}, --provider {OpenAI,Anthropic,xAI,GoogleAI,VertexAI}
                        The LLM provider backend.
                        - 'GoogleAI': Google AI Studio (API Key). Global/Auto-routed.
                        - 'VertexAI': Google Cloud Vertex AI (IAM Auth). Region-specific.
  -r REGION, --region REGION
                        Google Cloud region (e.g., 'us-central1').
                        *Required* if provider is VertexAI. Ignored for other providers.

$ llm_models -p Anthropic
Listing available Anthropic models...
================================================================================
Model: claude-haiku-4-5-20251001 (Claude Haiku 4.5)
Model: claude-sonnet-4-5-20250929 (Claude Sonnet 4.5)
Model: claude-opus-4-1-20250805 (Claude Opus 4.1)
Model: claude-opus-4-20250514 (Claude Opus 4)
Model: claude-sonnet-4-20250514 (Claude Sonnet 4)
Model: claude-3-7-sonnet-20250219 (Claude Sonnet 3.7)
Model: claude-3-5-haiku-20241022 (Claude Haiku 3.5)
Model: claude-3-haiku-20240307 (Claude Haiku 3)
Model: claude-3-opus-20240229 (Claude Opus 3)
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Installation

macOS:

% pip3 install llm-models
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Windows:

pip install llm-models
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Linux:

$ pipx install llm-models
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GitHub repo: https://github.com/ljbuturovic/llm-models

What's next

Give it a try and let me know what you think in the comments!

Original post

The Problem

With the flurry of new LLMs published almost daily, it may be
confusing for developers to keep track of which exact models are
available through various API services at any given time. When Gemini 3 was released a couple of days ago, I could not find the correct model name for a while (turned out to be "gemini-3-pro-preview")

The Solution

I built (with Claude Code help) a simple CLI app to list available models for the major providers.

Usage


$ ./llm_models.py -h
usage: llm_models.py [-h] -p {OpenAI,Anthropic,xAI,GoogleAI,VertexAI} [-r REGION]

List available LLM models from various providers

options:
  -h, --help            show this help message and exit
  -p {OpenAI,Anthropic,xAI,GoogleAI,VertexAI}, --provider {OpenAI,Anthropic,xAI,GoogleAI,VertexAI}
                        The LLM provider backend.
                        - 'GoogleAI': Google AI Studio (API Key). Global/Auto-routed.
                        - 'VertexAI': Google Cloud Vertex AI (IAM Auth). Region-specific.
  -r REGION, --region REGION
                        Google Cloud region (e.g., 'us-central1').
                        *Required* if provider is VertexAI. Ignored for other providers.

$ ./llm_models.py -p Anthropic
Listing available Anthropic models...
================================================================================
Model: claude-haiku-4-5-20251001 (Claude Haiku 4.5)
Model: claude-sonnet-4-5-20250929 (Claude Sonnet 4.5)
Model: claude-opus-4-1-20250805 (Claude Opus 4.1)
Model: claude-opus-4-20250514 (Claude Opus 4)
Model: claude-sonnet-4-20250514 (Claude Sonnet 4)
Model: claude-3-7-sonnet-20250219 (Claude Sonnet 3.7)
Model: claude-3-5-haiku-20241022 (Claude Haiku 3.5)
Model: claude-3-haiku-20240307 (Claude Haiku 3)
Model: claude-3-opus-20240229 (Claude Opus 3)
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Installation

  • $ git clone git@github.com:ljbuturovic/llm_models.git
  • $ python3 -m venv venv
  • $ source venv/bin/activate
  • $ ./llm_models.py -p GoogleAI

What's next

Give it a try and let me know what you think in the comments!

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