> For the complete documentation index, see [llms.txt](https://docs.console.zenlayer.com/welcome/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.console.zenlayer.com/welcome/ai-gateway/available-models.md).

# Available Models

We now support numerous mainstream AI models. Visit the **Model Catalog** to explore all supported models.

You can view detailed model information:

* Context length
* Pricing (all kinds of tokens)
* Model release date

Click ***Connect via API*** to view the [**API docs**](https://docs.console.zenlayer.com/api-reference/compute/aig).

<div align="left" data-with-frame="true"><figure><img src="/files/w4nHGYJJiFWYGivhk6YN" alt=""><figcaption></figcaption></figure></div>

## Sort Models

You can sort model by the following ways:

* **Newest**: release or availability date
* **Input token price: High → Low**: input token price in descending order
* **Input token price: Low → High**: input token price in ascending order
* **Context capacity: High → Low**: maximum context capacity

Or just enter the model to search.

## Filter Models

### Filter by Task Type

#### Large Language Models (LLMs)

Text-based AI models used for understanding and generating natural language.\
Suitable for chatbots, content writing, summarization, translation, and reasoning tasks.

#### Image Generation

Models that generate images based on text prompts.\
Commonly used for design concepts, illustrations, marketing visuals, and creative content.

#### Video Generation

Models that generate or edit videos from text or image inputs.\
Useful for short video creation, visual storytelling, and media production workflows.

#### Text-to-Speech (TTS)

Models that convert text into spoken audio.\
Ideal for voice assistants, narration, accessibility features, and audio content creation.

#### Text Embeddings

Models that convert text into numerical vectors (embeddings).\
Used for semantic search, recommendation systems, clustering, and similarity matching.

### Filter by AI Provider

#### OpenAI

Provides a wide range of state-of-the-art models for language understanding, generation, and multimodal tasks.

#### Google

Offers advanced AI models with strong performance in reasoning, multimodal understanding, and large-context processing.

#### Anthropic

Focuses on reliable and safety-oriented large language models, well-suited for enterprise and regulated use cases.

#### Perplexity

Specializes in AI models optimized for search, retrieval, and question-answering experiences.

### Filter by Context Capacity (MToken)

**Context capacity** refers to the maximum amount of text a model can process in a single request.

#### 0.2 MToken

Supports short to medium-length inputs.\
Suitable for simple conversations, prompts, and lightweight tasks.

#### 0.4 MToken

Handles longer inputs such as multi-turn conversations or medium-sized documents.

#### 0.6 MToken

Designed for complex prompts and larger documents requiring deeper context understanding.

#### 0.8 MToken

Supports very long inputs, including large documents or extended multi-turn interactions.

#### 1 MToken

Provides maximum context capacity.\
Best for processing large datasets, long-form documents, or advanced reasoning tasks with extensive context.