# Pricing & Credits

## Pricing & Credits

### Credit System

ChainGPT uses a simple credit-based pricing model:

* **1 CGPTc = $0.01 USD**
* Credits **never expire**
* **15% bonus** when purchasing with $CGPT tokens or enabling auto-top-up

Add credits at: [app.chaingpt.org/addcredits](https://app.chaingpt.org/addcredits)

***

### Pricing Table

| Product                        | Action             | Credits (CGPTc) | USD       |
| ------------------------------ | ------------------ | --------------- | --------- |
| LLM Chat                       | Base request       | 0.5             | $0.005    |
| LLM Chat                       | With history       | 1.0             | $0.01     |
| NFT (VeloGen/Nebula/Visionary) | Base               | 1               | $0.01     |
| NFT                            | + 1x upscale       | 2               | $0.02     |
| NFT                            | + 2x upscale       | 3               | $0.03     |
| NFT (Dale3 1024x1024)          | Base               | 4.75            | $0.0475   |
| NFT (Dale3 + enhanced)         | Max                | \~14.25         | \~$0.1425 |
| NFT                            | Prompt enhancement | 0.5             | $0.005    |
| Contract Generator             | Base               | 1               | $0.01     |
| Contract Generator             | With history       | 2               | $0.02     |
| Contract Auditor               | Base               | 1               | $0.01     |
| Contract Auditor               | With history       | 2               | $0.02     |
| News                           | Per 10 records     | 1               | $0.01     |
| AgenticOS                      | Per tweet          | 1               | $0.01     |
| Solidity LLM                   | Self-hosted        | 0               | Free      |

***

### Cost Estimation Examples

**Typical development session** (2 hours):

* 50 LLM chat requests with history: 50 credits ($0.50)
* 5 contract generations: 5 credits ($0.05)
* 2 contract audits: 2 credits ($0.02)
* **Total: 57 credits ($0.57)**

**NFT collection launch** (100 images):

* 100 base generations (VeloGen): 100 credits ($1.00)
* 20 upscaled variants (1x): 40 credits ($0.40)
* **Total: 140 credits ($1.40)**

**Daily news monitoring** (30 days):

* 3 news pulls per day (10 records each): 90 credits ($0.90)
* **Total: 90 credits ($0.90)**

**Social media automation** (monthly):

* 60 tweets via AgenticOS: 60 credits ($0.60)
* 60 LLM chat requests for content: 30 credits ($0.30)
* **Total: 90 credits ($0.90)**

***

### Zero-Credit Testing

Use the **mock server** to develop and test without spending any credits. The mock server provides realistic responses for all endpoints. See the Testing Guide for setup instructions.

***

### Rate Limits

* **200 requests per minute** per API key
* Requests exceeding the limit receive a `429 Too Many Requests` response

***

### Staking Tiers

Stake $CGPT tokens to unlock benefits:

| Tier    | Staking Requirement | Benefits                            |
| ------- | ------------------- | ----------------------------------- |
| Bronze  | 2,000+ $CGPT        | Priority support                    |
| Silver  | 20,000+ $CGPT       | Priority support, bonus credits     |
| Gold    | 50,000+ $CGPT       | Enhanced limits, bonus credits      |
| Diamond | 200,000+ $CGPT      | **Freemium access**, highest limits |

Diamond tier holders receive freemium access to ChainGPT API products.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.chaingpt.org/dev-docs-b2b-saas-api-and-sdk/chaingpt-claude-skill-and-plugin/resources/pricing-and-credits.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
