Supported AI Models and Providers Available in Portrix

Portrix provides access to 400+ models from leading AI providers through a single, unified API. All models are accessed using the {provider}/{model} naming format — for example, openai/gpt-4o or anthropic/claude-3-5-sonnet.

The full list of available models is always up to date via the API: GET /v1/models. This page shows a curated overview of the most popular models. New models are added continuously as providers release them.

How to list models programmatically

Fetch the live model catalog at any time using the /v1/models endpoint:

curl https://api.portrix.ai/v1/models \
  -H "Authorization: Bearer YOUR_PORTRIX_KEY"

import openai

client = openai.OpenAI(
    api_key="YOUR_PORTRIX_KEY",
    base_url="https://api.portrix.ai/v1",
)

models = client.models.list()
for model in models.data:
    print(model.id)

OpenAI

Model ID	Context Window	Capabilities	Notes
`openai/gpt-4o`	128k	Chat, Vision, Tools	Flagship multimodal model
`openai/gpt-4o-mini`	128k	Chat, Tools	Cost-effective; ideal for high-volume
`openai/o3-mini`	128k	Chat, Reasoning	Extended reasoning and complex problems
`openai/gpt-4-turbo`	128k	Chat, Vision, Tools	Previous flagship; strong performance
`openai/text-embedding-3-small`	8k	Embeddings	Best balance of speed and quality
`openai/text-embedding-3-large`	8k	Embeddings	Highest quality embeddings from OpenAI

Anthropic

Model ID	Context Window	Capabilities	Notes
`anthropic/claude-3-5-sonnet`	200k	Chat, Vision, Tools	Top-tier reasoning and instruction following
`anthropic/claude-3-5-haiku`	200k	Chat, Vision, Tools	Fast and cost-effective; great for agents
`anthropic/claude-3-opus`	200k	Chat, Vision, Tools	Maximum capability for complex tasks

Google

Model ID	Context Window	Capabilities	Notes
`google/gemini-2.0-flash`	1M	Chat, Vision, Tools	Very fast; excellent multimodal performance
`google/gemini-1.5-pro`	1M	Chat, Vision, Tools	Best for long-context document understanding
`google/gemini-1.5-flash`	1M	Chat, Vision, Tools	Optimized for speed at 1M token context

Mistral

Model ID	Context Window	Capabilities	Notes
`mistral/mistral-large`	32k	Chat, Tools	Mistral’s most powerful model
`mistral/mistral-small`	32k	Chat, Tools	Fast and affordable for everyday tasks
`mistral/codestral`	32k	Chat, Tools	Specialized for code generation

Model ID	Context Window	Capabilities	Notes
`meta/llama-3.3-70b`	128k	Chat, Tools	Latest Llama 3.3; strong open-weight model
`meta/llama-3.1-8b`	128k	Chat	Lightweight; fast inference for simple tasks

Cohere

Model ID	Context Window	Capabilities	Notes
`cohere/command-r-plus`	128k	Chat, Tools	Cohere’s most capable model; great for RAG
`cohere/command-r`	128k	Chat, Tools	Balanced performance and cost
`cohere/embed-v3`	512 tokens	Embeddings	High-quality multilingual embeddings

Model capabilities key

Capability	Description
Chat	Standard text generation via the `/v1/chat/completions` endpoint
Vision	Accepts image inputs alongside text; supports image URLs and base64-encoded images
Tools	Supports function calling (tool use) for structured outputs and agentic workflows
Streaming	Supports server-sent events (SSE) streaming via `"stream": true` — available on all chat models
Embeddings	Converts text to vector representations via the `/v1/embeddings` endpoint
Reasoning	Extended chain-of-thought reasoning for multi-step problem solving (OpenAI `o` series)

Use model IDs exactly as shown — for example, openai/gpt-4o — when making API calls. Omitting the provider prefix will result in a 404 Model Not Found error.

Get Started

Core Concepts

Guides

Integrations

Configuration

Help

Supported AI Models and Providers Available in Portrix

How to list models programmatically

OpenAI

Anthropic

Google

Mistral

Meta

Cohere

Model capabilities key

​How to list models programmatically

​OpenAI

​Anthropic

​Google

​Mistral

​Meta

​Cohere

​Model capabilities key

How to list models programmatically

OpenAI

Anthropic

Google

Mistral

Meta

Cohere

Model capabilities key