llm-models

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

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,Baseten,OpenRouter}
                  [-r REGION] [-c]

List available LLM models from various providers

options:
  -h, --help            show this help message and exit
  -p {OpenAI,Anthropic,xAI,GoogleAI,VertexAI,Baseten,OpenRouter}, --provider {OpenAI,Anthropic,xAI,GoogleAI,VertexAI,Baseten,OpenRouter}
                        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.
  -c, --check           Probe each model with a minimal 1-token request to report
                        live availability instead of just listing the catalog.
                        Anthropic only; consumes a tiny amount of credits per model.

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
• BASETEN_API_KEY for Baseten
• OPENROUTER_API_KEY for OpenRouter (optional — listing is public)

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)
...

Listing vs. checking (--check)

A plain listing reads Anthropic's model catalog (/v1/models): the set of model IDs your API key is entitled to address. It is free and instant, but it is not a health check — a model can appear in the catalog while not actually being served to your key (still rolling out, gated by tier, or mid-incident).

--check answers the other question — can I get a completion from it right now? — by sending each model a minimal 1-token request and reporting the live result:

$ llm-models -p Anthropic --check
Checking live availability of Anthropic models...
================================================================================
✗ claude-fable-5 (Claude Fable 5) - not found for this key
✓ claude-opus-4-8 (Claude Opus 4.8) - available
✓ claude-sonnet-4-6 (Claude Sonnet 4.6) - available
✓ claude-haiku-4-5-20251001 (Claude Haiku 4.5) - available
...

Status meanings:

The two views fail for different reasons and have different fixes: a 404 is a configuration/entitlement problem (retrying won't help), while a 529 is transient (retrying will). The catalog tells you whether it's worth trying; --check tells you whether trying works right now.

Note: --check spends a tiny amount of credits per model. If your account is out of credits, it prints a friendly message and exits instead of dumping a stack trace — plain listing still works, since it costs nothing.

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

List OpenRouter models (sorted by id, with context window and input price; OPENROUTER_API_KEY is optional since the listing endpoint is public):

$ llm-models -p OpenRouter
Listing available OpenRouter models...
================================================================================
Model: ai21/jamba-large-1.7 (AI21: Jamba Large 1.7) context: 256,000 $0.000002/in-tok
Model: aion-labs/aion-1.0 (AionLabs: Aion-1.0) context: 131,072 $0.000004/in-tok
Model: allenai/olmo-3-32b-think (AllenAI: Olmo 3 32B Think) context: 65,536 $0.00000015/in-tok
...

Note: OpenRouter lists 300+ models, so expect long output.

Requirements

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