> ## Documentation Index
> Fetch the complete documentation index at: https://docs.flatkey.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Models on Flatkey: 160+ Official Models Explained

> Flatkey provides access to 160+ official AI models across OpenAI, Anthropic, Google, DeepSeek, Qwen, and GLM. Learn how models are organized and priced.

Flatkey gives you access to 160+ official AI models from the world's leading providers. Every model runs on the official vendor infrastructure — Flatkey routes your request, it does not host or fine-tune models itself. You use the exact same model IDs you would use on the provider's own API.

## Supported providers

| Provider       | Models available | Representative models                                          |
| -------------- | ---------------- | -------------------------------------------------------------- |
| **OpenAI**     | 12+              | gpt-4o, gpt-4o-mini, gpt-5, gpt-image-2                        |
| **Anthropic**  | 8+               | claude-opus-4, claude-sonnet-4, claude-haiku-4                 |
| **Google**     | 21+              | gemini-2.5-pro, gemini-2.5-flash, gemini-flash-latest          |
| **DeepSeek**   | 6+               | deepseek-v3, deepseek-v3.1, deepseek-v4-pro, deepseek-v4-flash |
| **Qwen**       | 10+              | qwen3.5-plus, qwen3.7-max, qwen3.5-flash                       |
| **Z.ai / GLM** | 3+               | glm-4.7, glm-5-turbo, glm-5.2                                  |

## Endpoint families

Flatkey supports several endpoint families, each with its own request format:

<CardGroup cols={2}>
  <Card title="OpenAI (chat completions)" icon="message">
    POST `/v1/chat/completions` — used by GPT models and most non-Google providers. OpenAI-compatible JSON format.
  </Card>

  <Card title="OpenAI (responses)" icon="reply">
    POST `/v1/responses` — the newer OpenAI Responses API. Supports stateful multi-turn conversations.
  </Card>

  <Card title="Gemini" icon="sparkles">
    Gemini models can also be called via the standard `/v1/chat/completions` endpoint — Flatkey handles the translation automatically.
  </Card>

  <Card title="Anthropic" icon="robot">
    Claude models are accessible via the OpenAI-compatible endpoint. You can also use the native Anthropic SDK with Flatkey.
  </Card>

  <Card title="Image Generation" icon="image">
    POST `/v1/images/generations` — supports `gpt-image-2` and other image models.
  </Card>

  <Card title="Embeddings" icon="vector-square">
    POST `/v1/embeddings` — create text embeddings for semantic search and RAG.
  </Card>
</CardGroup>

## Choosing a model

Every model in the [Model Directory](/reference/model-list) shows:

* **Official price**: The per-million-token price the vendor charges
* **After-bonus price**: The effective price after applying top-up bonus credits
* **30-day success rate**: Real production traffic data, not synthetic benchmarks
* **Average latency**: Measured on live requests through Flatkey

For most general-purpose tasks:

* **Cost-sensitive workloads**: `gpt-4o-mini`, `gemini-2.5-flash-lite`, `deepseek-v4-flash`, `qwen3.5-flash`
* **High-quality generation**: `gpt-4o`, `claude-sonnet-4`, `gemini-2.5-pro`
* **Reasoning & research**: `deepseek-v3`, `qwen3.7-max`, `claude-opus-4`
* **Image generation**: `gpt-image-2`, `gemini-3-pro-image`
* **Embeddings**: `gemini-embedding-001`

## Model IDs

Use the model's canonical ID exactly as listed in the [Model Directory](/reference/model-list). For example:

```python python theme={null}
response = client.chat.completions.create(
    model="claude-sonnet-4-5",  # Anthropic Claude Sonnet
    messages=[{"role": "user", "content": "Summarize this document."}],
)
```

```python python theme={null}
response = client.chat.completions.create(
    model="deepseek-ai/deepseek-r1",  # DeepSeek R1
    messages=[{"role": "user", "content": "Explain step by step."}],
)
```

<Tip>
  When switching between providers, only the `model` parameter changes. All other request fields (messages, temperature, max\_tokens, etc.) follow the same OpenAI-compatible schema.
</Tip>

## Model health

Flatkey tracks live health for every model based on real production traffic:

* **Success rate**: Percentage of requests that completed successfully in the last 30 days
* **Average latency**: Time to first token or total response time
* **Volume**: Total requests and tokens over the period

View real-time health data at [flatkey.ai/rankings](https://flatkey.ai/rankings) or in the [Model Health](/reference/model-health) reference.