Available Models

node-llm includes a comprehensive registry of models with metadata for pricing, context windows, and capabilities. Below are the most popular models supported out of the box.

OpenAI

Model ID	Context	Cost (In/Out)	Notes
Flagship
gpt-4o	128k	$5 / $15	High intelligence, native multimodal
gpt-4o-mini	128k	$0.15 / $0.60	Fast, cheap replacement for GPT-3.5
Reasoning
o1-preview	128k	$15 / $60	Advanced reasoning, slower
o1-mini	128k	$3 / $12	Efficient reasoning
Standard
gpt-4-turbo	128k	$10 / $30	Previous flagship
gpt-3.5-turbo	16k	$0.50 / $1.50	Legacy standard
Audio / Other
whisper-1	-	$0.006 / min	Speech to Text
text-embedding-3-small	8k	$0.02	Embeddings
text-embedding-3-large	8k	$0.13	Embeddings

Anthropic

Model ID	Context	Cost (In/Out)	Notes
Claude 3.5
claude-3-5-sonnet-20241022	200k	$3 / $15	Best balance of speed/intelligence
claude-3-5-haiku-20241022	200k	$0.80 / $4	Extremely fast
Claude 3
claude-3-opus-20240229	200k	$15 / $75	Highest reasoning (legacy)
claude-3-sonnet-20240229	200k	$3 / $15	Balanced
claude-3-haiku-20240307	200k	$0.25 / $1.25	Economy

Gemini

Model ID	Context	Cost (In/Out)	Notes
Gemini 2.0
gemini-2.0-flash	1M	$0.10 / $0.40	Next-gen speed & multimodal
Gemini 1.5
gemini-1.5-pro	2M	$1.25 / $5	Massive context window
gemini-1.5-flash	1M	$0.075 / $0.30	High volume tasks
Embedding
text-embedding-004	-	-	Semantic search

Programmatic Access

You can access this data programmatically using the registry:

import { LLM } from "@node-llm/core";

const model = LLM.models.find("gpt-4o");

console.log(model.context_window); // 128000
console.log(model.pricing.text_tokens.standard.input_per_million); // 5
console.log(model.capabilities); // ["vision", "function_calling", ...]

Finding Models

Use the registry to find models dynamically based on capabilities:

// Find a model that supports vision and tools
const visionModel = LLM.models.list().find(m => 
  m.capabilities.includes("vision") && m.capabilities.includes("function_calling")
);