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

# Models & Pricing

> Liaobots is committed to providing developers with fast, convenient, and affordable API interface solutions, building a stable and easy-to-use API platform that integrates almost all AI large models in one place.

<img src="https://mintcdn.com/liaobots/pAzQwH2vlz1d7UuQ/images/Aggregation/Model-Price/price.jpg?fit=max&auto=format&n=pAzQwH2vlz1d7UuQ&q=85&s=9c134007b0cb040e78f266dc0dc4383f" alt="Price Jp" width="1200" height="800" data-path="images/Aggregation/Model-Price/price.jpg" />

## Billing Rules

**Billing Method**: Billing follows OpenAI API's token-based pricing method, where 1000 tokens ≈ 500-750 words. All prices in the table below are per **1 million (1M) tokens**.

**Cache Billing Method**: The "Cache Read/Create" column shows `read/create per 1M`: read = base × 0.1, create (5-minute tier) = base × 1.25 (1-hour tier is × 2; this column shows the 5-minute tier). **The base differs by request path**: non-Claude providers use the credit input price as base and have no cache-create cost (shown `0`); Claude caching only occurs on the Claude Code (`/v1/messages`) path, where the base is "official price × Claude Code ratio (currently 1 USD = 3.5 credits)" — so for some `-t` models the cache value is not the displayed credit input price × 0.1, and the normal chat (`/v1/chat/completions`) path has no cache-create cost. Fixed-price models (image/video) have no caching, shown as `-`.

**Claude Code Billing Method**: The billing algorithm is consistent with the official, with dynamically adjusted price ratio. Current ratio: 1 USD = 3.5 credits

**CodeX Billing Method**: The billing algorithm is consistent with the official, with dynamically adjusted price ratio. Current ratio: 1 USD = 0.5 credits

**Credits to RMB Ratio**: Credits and RMB are at a 1:1 ratio. In this article, you can see the ratio between our prices and official prices.

**Voice reading billing** (main-site features, not API tokens):

| Feature                                                      | Pricing                                                                            |
| ------------------------------------------------------------ | ---------------------------------------------------------------------------------- |
| Multi-voice / streaming multi-voice / custom voice synthesis | By text length: **0.25 credits per 500 characters** (partial blocks count as full) |
| Single-voice reading                                         | Per generation: **0.05 credits**                                                   |

**Long Conversation Billing Principle**: The principle of long conversations with AI is that each conversation implicitly sends all previous content to the AI. As conversations get longer, the cumulative content sent also increases, so token consumption will also increase.

## How to Integrate

We support API calls for various models. No format adaptation is needed. Use OpenAI API format, just modify base\_url and api\_key. api\_key uses the main site Login Code, pay-as-you-go.

<CardGroup cols="2">
  <Card title="Chat Completions" icon="pen-to-square" href="https://platform.openai.com/docs/api-reference/chat/create">
    OpenAI Official API Documentation
  </Card>
</CardGroup>

**base\_url**: `https://ai.liaobots.work/v1` (for backup URLs, see [API Call Examples](/Getting-Started/en/API))

**api\_key**: Login Code

```shell theme={null}
curl --location 'https://ai.liaobots.work/v1/chat/completions' \
--header 'Authorization: Bearer Login Code' \
--header 'Content-Type: application/json' \
--data '{
    "model": "gpt-4o",
    "stream": false,
    "messages": [
        {
            "role": "user",
            "content": "hi"
        }
    ]
}'
```

## Model List

<Tip>
  The following prices are for **1M tokens (1 million tokens)**. Official prices are in USD, and credits can be simply calculated as RMB. Latest exchange rate (\~7.3): [usd-to-cny-rate](https://wise.com/zh-cn/currency-converter/usd-to-cny-rate)
</Tip>

<Tip>
  Prices may change with market fluctuations, but we will always insist on providing lower prices than official
</Tip>

| Provider          | Model Name                              | Context | Point Price                    | Cache Read/Create   | Price Ratio | Official Price (USD)        |
| ----------------- | --------------------------------------- | ------- | ------------------------------ | ------------------- | ----------- | --------------------------- |
| Anthropic         | claude-sonnet-5                         | 1M      | Input 7/M, Output 35/M         | 0.7/8.75 per 1M     | 47%         | Input 2/M, Output 10/M      |
| Anthropic         | claude-sonnet-4-6                       | 1M      | Input 5.25/M, Output 26.25/M   | 0.525/6.5625 per 1M | 47%         | Input 1.5/M, Output 7.5/M   |
| Anthropic         | claude-sonnet-4-5-20250929-thinking     | 200K    | Input 5.25/M, Output 26.25/M   | 0.525/6.5625 per 1M | 47%         | Input 1.5/M, Output 7.5/M   |
| Anthropic         | claude-sonnet-4-5-20250929-t            | 200K    | Input 2.25/M, Output 11.25/M   | 0.525/6.5625 per 1M | 20%         | Input 1.5/M, Output 7.5/M   |
| Anthropic         | claude-sonnet-4-5-20250929              | 200K    | Input 5.25/M, Output 26.25/M   | 0.525/6.5625 per 1M | 47%         | Input 1.5/M, Output 7.5/M   |
| Anthropic         | claude-opus-4-8                         | 1M      | Input 17.5/M, Output 87.5/M    | 1.75/21.875 per 1M  | 47%         | Input 5/M, Output 25/M      |
| Anthropic         | claude-opus-4-7-t                       | 1M      | Input 7.5/M, Output 37.5/M     | 1.75/21.875 per 1M  | 20%         | Input 5/M, Output 25/M      |
| Anthropic         | claude-opus-4-7                         | 1M      | Input 17.5/M, Output 87.5/M    | 1.75/21.875 per 1M  | 47%         | Input 5/M, Output 25/M      |
| Anthropic         | claude-opus-4-6-thinking                | 1M      | Input 17.5/M, Output 87.5/M    | 1.75/21.875 per 1M  | 47%         | Input 5/M, Output 25/M      |
| Anthropic         | claude-opus-4-6-t                       | 1M      | Input 7.5/M, Output 37.5/M     | 1.75/21.875 per 1M  | 20%         | Input 5/M, Output 25/M      |
| Anthropic         | claude-opus-4-6                         | 1M      | Input 17.5/M, Output 87.5/M    | 1.75/21.875 per 1M  | 47%         | Input 5/M, Output 25/M      |
| Anthropic         | claude-opus-4-5-20251101-t              | 200K    | Input 7.5/M, Output 37.5/M     | 1.75/21.875 per 1M  | 20%         | Input 5/M, Output 25/M      |
| Anthropic         | claude-opus-4-1-20250805-t              | 200K    | Input 22.5/M, Output 112.5/M   | 5.25/65.625 per 1M  | 20%         | Input 15/M, Output 75/M     |
| Anthropic         | claude-opus-4-20250514                  | 200K    | Input 52.5/M, Output 262.5/M   | 5.25/65.625 per 1M  | 47%         | Input 15/M, Output 75/M     |
| Anthropic         | claude-fable-5                          | 1M      | Input 35/M, Output 175/M       | 3.5/43.75 per 1M    | 47%         | Input 10/M, Output 50/M     |
| chat-server-video | veo-3.1-standard                        | 0K      | Input 0.8, Output 0            | -                   | -           | Input 0, Output 0           |
| chat-server-video | veo-3.1-fast                            | 0K      | Input 0.6, Output 0            | -                   | -           | Input 0, Output 0           |
| chat-server-video | seedance-2-0-fast                       | 0K      | Input 0, Output 0              | -                   | -           | Input 0, Output 0           |
| chat-server-video | seedance-2-0                            | 0K      | Input 0, Output 0              | -                   | -           | Input 0, Output 0           |
| chat-server-video | grok-imagine-video-1.5-preview          | 0K      | Input 0, Output 0              | -                   | -           | Input 0, Output 0           |
| DeepSeek          | deepseek-v4-pro                         | 1M      | Input 11.4/M, Output 22.8/M    | 1.14/0 per 1M       | 89%         | Input 1.74/M, Output 3.48/M |
| DeepSeek          | deepseek-v4-flash                       | 1M      | Input 0.95/M, Output 1.9/M     | 0.095/0 per 1M      | 92%         | Input 0.14/M, Output 0.28/M |
| DeepSeek          | deepseek-v3.2                           | 128K    | Input 1.568/M, Output 2.352/M  | 0.1568/0 per 1M     | 76%         | Input 0.28/M, Output 0.42/M |
| GLM               | glm-5.2-fast                            | 1M      | Input 3/M, Output 8.4/M        | 0.3/0 per 1M        | 17%         | Input 2.1/M, Output 6.6/M   |
| GLM               | glm-5.2                                 | 1M      | Input 2/M, Output 5.6/M        | 0.2/0 per 1M        | 17%         | Input 1.4/M, Output 4.4/M   |
| GLM               | glm-5.1                                 | 200K    | Input 2/M, Output 5.6/M        | 0.2/0 per 1M        | 17%         | Input 1.4/M, Output 4.4/M   |
| GLM               | glm-5                                   | 200K    | Input 4/M, Output 12.8/M       | 0.4/0 per 1M        | 54%         | Input 1/M, Output 3.2/M     |
| GLM               | glm-4.7                                 | 200K    | Input 1.6/M, Output 7/M        | 0.16/0 per 1M       | 54%         | Input 0.4/M, Output 1.75/M  |
| Google            | gemini-3.1-flash-image-preview          | 200K    | Input 0.1, Output 0.1          | -                   | 6%          | Input 0.2, Output 0.2       |
| Google            | gemini-3-pro-image-preview-openrouter   | 256K    | Input 0.2, Output 0.2          | -                   | 6%          | Input 0.4, Output 0.4       |
| Google            | gemini-3.1-flash-lite-image             | 200K    | Input 0.12, Output 0.12        | -                   | 5%          | Input 0.3, Output 0.3       |
| Google            | gemini-3-pro-image-preview              | 256K    | Input 0.2, Output 0.2          | -                   | 6%          | Input 0.4, Output 0.4       |
| Google            | gemini-2.5-flash-image                  | 32K     | Input 0.1, Output 0.1          | -                   | 6%          | Input 0.2, Output 0.2       |
| Google            | imagen-4.0-ultra-generate-preview-06-06 | 100K    | Input 0.2, Output 0.2          | -                   | 2%          | Input 1, Output 1           |
| Google            | imagen-4.0-generate-preview-06-06       | 100K    | Input 0.1, Output 0.1          | -                   | 1%          | Input 1, Output 1           |
| Google            | gemini-3.5-flash                        | 1M      | Input 2.625/M, Output 15.75/M  | 0.2625/0 per 1M     | 47%         | Input 0.75/M, Output 4.5/M  |
| Google            | gemini-3.1-pro-preview-vertex           | 1M      | Input 7/M, Output 42/M         | 0.7/0 per 1M        | 47%         | Input 2/M, Output 12/M      |
| Google            | gemini-3.1-pro-preview                  | 1M      | Input 7/M, Output 42/M         | 0.7/0 per 1M        | 47%         | Input 2/M, Output 12/M      |
| Google            | gemini-3.1-flash-lite-preview           | 1M      | Input 0.875/M, Output 5.25/M   | 0.0875/0 per 1M     | 47%         | Input 0.25/M, Output 1.5/M  |
| Google            | gemini-3-pro-preview-vertex             | 1M      | Input 4/M, Output 24/M         | 0.4/0 per 1M        | 27%         | Input 2/M, Output 12/M      |
| Google            | gemini-3-pro-preview-thinking           | 1M      | Input 7/M, Output 42/M         | 0.7/0 per 1M        | 47%         | Input 2/M, Output 12/M      |
| Google            | gemini-3-pro-preview                    | 1M      | Input 7/M, Output 42/M         | 0.7/0 per 1M        | 47%         | Input 2/M, Output 12/M      |
| Google            | gemini-3-flash-preview                  | 1M      | Input 0.525/M, Output 2.1/M    | 0.0525/0 per 1M     | 47%         | Input 0.15/M, Output 0.6/M  |
| Google            | gemini-2.5-pro-vertex                   | 1M      | Input 4.375/M, Output 35/M     | 0.4375/0 per 1M     | 47%         | Input 1.25/M, Output 10/M   |
| Google            | gemini-2.5-pro                          | 1M      | Input 4.375/M, Output 35/M     | 0.4375/0 per 1M     | 47%         | Input 1.25/M, Output 10/M   |
| Google            | gemini-2.5-flash                        | 1M      | Input 0.525/M, Output 2.1/M    | 0.0525/0 per 1M     | 47%         | Input 0.15/M, Output 0.6/M  |
| Kimi              | kimi-k2.7-code                          | 262K    | Input 1.9/M, Output 8/M        | 0.19/0 per 1M       | 27%         | Input 0.95/M, Output 4/M    |
| Kimi              | kimi-k2.6                               | 262K    | Input 1.9/M, Output 8/M        | 0.19/0 per 1M       | 27%         | Input 0.95/M, Output 4/M    |
| Kimi              | kimi-k2.5                               | 262K    | Input 1.8/M, Output 8.8/M      | 0.18/0 per 1M       | 54%         | Input 0.45/M, Output 2.2/M  |
| Kimi              | kimi-k2-thinking                        | 256K    | Input 2.4/M, Output 10/M       | 0.24/0 per 1M       | 54%         | Input 0.6/M, Output 2.5/M   |
| MiniMax           | minimax-m3                              | 1M      | Input 2.4/M, Output 9.6/M      | 0.24/0 per 1M       | 54%         | Input 0.6/M, Output 2.4/M   |
| MiniMax           | minimax-m2.7                            | 205K    | Input 1.2/M, Output 4.8/M      | 0.12/0 per 1M       | 54%         | Input 0.3/M, Output 1.2/M   |
| MiniMax           | minimax-m2.5                            | 205K    | Input 1.2/M, Output 4.8/M      | 0.12/0 per 1M       | 54%         | Input 0.3/M, Output 1.2/M   |
| OpenAI            | o4-mini                                 | 200K    | Input 1.1/M, Output 4.4/M      | 0.11/0 per 1M       | 13%         | Input 1.1/M, Output 4.4/M   |
| OpenAI            | o3-mini                                 | 200K    | Input 1.1/M, Output 4.4/M      | 0.11/0 per 1M       | 13%         | Input 1.1/M, Output 4.4/M   |
| OpenAI            | o3                                      | 200K    | Input 4/M, Output 16/M         | 0.4/0 per 1M        | 27%         | Input 2/M, Output 8/M       |
| OpenAI            | horizon-beta                            | 256K    | Input 0.01, Output 0.01        | -                   | 1%          | Input 0.1, Output 0.1       |
| OpenAI            | gpt-image-2                             | 128K    | Input 0.15, Output 0.15        | -                   | 13%         | Input 0.15, Output 0.15     |
| OpenAI            | gpt-5.6-terra                           | 1.05M   | Input 2/M, Output 12/M         | 0.2/0 per 1M        | 10%         | Input 2.5/M, Output 15/M    |
| OpenAI            | gpt-5.6-sol                             | 1.05M   | Input 4/M, Output 24/M         | 0.4/0 per 1M        | 10%         | Input 5/M, Output 30/M      |
| OpenAI            | gpt-5.6-luna                            | 1.05M   | Input 0.8/M, Output 4.8/M      | 0.08/0 per 1M       | 10%         | Input 1/M, Output 6/M       |
| OpenAI            | gpt-5.5                                 | 1.05M   | Input 4/M, Output 24/M         | 0.4/0 per 1M        | 10%         | Input 5/M, Output 30/M      |
| OpenAI            | gpt-5.4-nano                            | 400K    | Input 0.16/M, Output 1/M       | 0.016/0 per 1M      | 10%         | Input 0.2/M, Output 1.25/M  |
| OpenAI            | gpt-5.4-mini                            | 400K    | Input 0.6/M, Output 3.6/M      | 0.06/0 per 1M       | 10%         | Input 0.75/M, Output 4.5/M  |
| OpenAI            | gpt-5.4                                 | 1.05M   | Input 2/M, Output 12/M         | 0.2/0 per 1M        | 10%         | Input 2.5/M, Output 15/M    |
| OpenAI            | gpt-5.2                                 | 400K    | Input 3.5/M, Output 28/M       | 0.35/0 per 1M       | 27%         | Input 1.75/M, Output 14/M   |
| OpenAI            | gpt-5-codex                             | 400K    | Input 2.5/M, Output 20/M       | 0.25/0 per 1M       | 27%         | Input 1.25/M, Output 10/M   |
| OpenAI            | gpt-5-chat-latest                       | 128K    | Input 4/M, Output 16/M         | 0.4/0 per 1M        | 27%         | Input 2/M, Output 8/M       |
| OpenAI            | gpt-5-mini                              | 400K    | Input 0.5/M, Output 4/M        | 0.05/0 per 1M       | 27%         | Input 0.25/M, Output 2/M    |
| OpenAI            | gpt-5                                   | 400K    | Input 2.5/M, Output 20/M       | 0.25/0 per 1M       | 27%         | Input 1.25/M, Output 10/M   |
| OpenAI            | gpt-4o-mini-free                        | 8K      | Input 0.01/M, Output 0.01/M    | 0.001/0 per 1M      | 0%          | Input 0.15/M, Output 0.6/M  |
| OpenAI            | gpt-4o-mini-2024-07-18                  | 128K    | Input 0.3/M, Output 1.2/M      | 0.03/0 per 1M       | 27%         | Input 0.15/M, Output 0.6/M  |
| OpenAI            | gpt-4o-mini                             | 128K    | Input 0.3/M, Output 1.2/M      | 0.03/0 per 1M       | 27%         | Input 0.15/M, Output 0.6/M  |
| OpenAI            | gpt-4o-free                             | 8K      | Input 0.01/M, Output 0.01/M    | 0.001/0 per 1M      | 13%         | Input 0.01/M, Output 0.01/M |
| OpenAI            | gpt-4o-2024-11-20                       | 128K    | Input 5/M, Output 20/M         | 0.5/0 per 1M        | 27%         | Input 2.5/M, Output 10/M    |
| OpenAI            | gpt-4o-2024-08-06                       | 128K    | Input 5/M, Output 20/M         | 0.5/0 per 1M        | 27%         | Input 2.5/M, Output 10/M    |
| OpenAI            | gpt-4o-2024-05-13                       | 128K    | Input 10/M, Output 30/M        | 1/0 per 1M          | 27%         | Input 5/M, Output 15/M      |
| OpenAI            | gpt-4o-2024-11-20                       | 128K    | Input 5/M, Output 20/M         | 0.5/0 per 1M        | 27%         | Input 2.5/M, Output 10/M    |
| OpenAI            | gpt-4.1-nano                            | 1M      | Input 0.7/M, Output 2.8/M      | 0.07/0 per 1M       | 95%         | Input 0.1/M, Output 0.4/M   |
| OpenAI            | gpt-4.1-nano-2025-04-14                 | 1M      | Input 0.7/M, Output 2.8/M      | 0.07/0 per 1M       | 95%         | Input 0.1/M, Output 0.4/M   |
| OpenAI            | gpt-4.1-mini                            | 1M      | Input 2.8/M, Output 11.2/M     | 0.28/0 per 1M       | 95%         | Input 0.4/M, Output 1.6/M   |
| OpenAI            | gpt-4.1-mini-2025-04-14                 | 1M      | Input 2.8/M, Output 11.2/M     | 0.28/0 per 1M       | 95%         | Input 0.4/M, Output 1.6/M   |
| OpenAI            | gpt-4.1                                 | 1M      | Input 4/M, Output 16/M         | 0.4/0 per 1M        | 27%         | Input 2/M, Output 8/M       |
| OpenAI            | gpt-4.1-2025-04-14                      | 1M      | Input 4/M, Output 16/M         | 0.4/0 per 1M        | 27%         | Input 2/M, Output 8/M       |
| OpenAI            | gpt-4-turbo-2024-04-09                  | 128K    | Input 20/M, Output 60/M        | 2/0 per 1M          | 27%         | Input 10/M, Output 30/M     |
| OpenAI            | gpt-4-turbo                             | 128K    | Input 20/M, Output 60/M        | 2/0 per 1M          | 27%         | Input 10/M, Output 30/M     |
| qwen              | qwen3.7-max                             | 1M      | Input 9.125/M, Output 27.375/M | 0.9125/0 per 1M     | 50%         | Input 2.5/M, Output 7.5/M   |
| qwen              | qwen3-max-2026-01-23                    | 262K    | Input 4/M, Output 16/M         | 0.4/0 per 1M        | 99%         | Input 0.55/M, Output 2.21/M |
| x.ai              | grok-4-5                                | 256K    | Input 2/M, Output 6/M          | 0.2/0 per 1M        | 13%         | Input 2/M, Output 6/M       |
| x.ai              | grok-4-fast                             | 2M      | Input 0.2/M, Output 0.5/M      | 0.02/0 per 1M       | 13%         | Input 0.2/M, Output 0.5/M   |
| x.ai              | grok-3                                  | 128K    | Input 1.2/M, Output 6/M        | 0.12/0 per 1M       | 5%          | Input 3/M, Output 15/M      |
| xAI               | grok-imagine-image-quality              | 128K    | Input 0.1, Output 0.1          | -                   | 13%         | Input 0.1, Output 0.1       |
| xAI               | grok-imagine-image                      | 128K    | Input 0.06, Output 0.06        | -                   | 13%         | Input 0.06, Output 0.06     |