llm-models 0.6.0

A CLI tool to list available LLM models from various providers

llm-models

A simple command-line tool to list available LLM models from various providers (OpenAI, Google, Anthropic, xAI, Baseten).

Installation

Linux/macOS

$ pipx install llm-models

Windows (untested)

pip install llm-models

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,Baseten}, --provider {OpenAI,Anthropic,xAI,GoogleAI,VertexAI,Baseten}
                        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.

The tool requires API keys set as environment variables:

• OPENAI_API_KEY for OpenAI
• GOOGLE_API_KEY for GoogleAI API, or GOOGLE_CLOUD_PROJECT for VertexAI API
• ANTHROPIC_API_KEY for Anthropic
• XAI_API_KEY for xAI

Examples

List OpenAI models:

$ llm-models --provider OpenAI
Listing available OpenAI models...
================================================================================
Model: babbage-002
Model: chatgpt-4o-latest
Model: codex-mini-latest
...

List Google models using GoogleAI API:

$ llm-models -p GoogleAI
Listing available Google AI Studio models (auto-routed region)...
================================================================================
Model: models/embedding-gecko-001
Model: models/gemini-2.5-pro-preview-03-25
Model: models/gemini-2.5-flash
...

List Google models using Vertex AI API (with regional endpoint):

$ llm-models -p VertexAI -r us-central1
Listing available Vertex AI models (project: ZZZ, region: us-central1)...
================================================================================
Model: publishers/google/models/imageclassification-efficientnet
Model: publishers/google/models/occupancy-analytics
Model: publishers/google/models/multimodalembedding
...

List Anthropic models:

$ 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)
...

List xAI models:

$ llm-models -p xAI
Listing available xAI models (NOTE: xAI uses aliases, so grok-4 is an acceptable API name, resolving to grok-4-0709 as of Nov. 2025)...
================================================================================
Model: grok-2-1212
Model: grok-2-vision-1212
Model: grok-3
...

List Baseten models:

$ llm-models -p Baseten
Listing available Baseten models...
================================================================================
Model: openai/gpt-oss-120b (OpenAI GPT 120B) context: 128,072
Model: deepseek-ai/DeepSeek-V3.1 (DeepSeek V3.1) context: 163,840
Model: zai-org/GLM-4.7 (GLM 4.7) context: 200,000
Model: moonshotai/Kimi-K2.5 (Kimi K2.5) context: 262,000
Model: MiniMaxAI/MiniMax-M2.5 (Minimax M2.5) context: 204,000
Model: zai-org/GLM-5 (GLM 5) context: 202,800
Model: nvidia/Nemotron-120B-A12B (Nemotron Super) context: 202,800
Model: moonshotai/Kimi-K2.6 (Kimi K2.6) context: 262,000

Requirements

• Python 3.10+
• tested on Ubuntu 24.04 and macOS 26.1