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

# Models & Pricing

> All available models and their pricing on Anyone.ai

Anyone.ai provides access to **64+ AI models** from 11 providers through a single API endpoint.

## Pricing Formula

* **Input price** = model ratio × \$2.00 per 1M tokens
* **Output price** = input price × completion ratio
* **Cache read** = input price × cache ratio (where available)
* **Cache write** = input price × create cache ratio (Anthropic models)

All prices are in USD per 1 million tokens.

<Tip>
  Log in to [Anyone Dashboard](https://www.anyone.ai/console) → **Model Marketplace** to see real-time pricing on each model card.
</Tip>

### Anthropic

| Model                         | Input (\$/1M) | Output (\$/1M) | Cache Read | Cache Write |
| ----------------------------- | ------------- | -------------- | ---------- | ----------- |
| `anthropic/claude-haiku-4.5`  | \$1.00        | \$5.00         | \$0.10     | —           |
| `anthropic/claude-opus-4.5`   | \$5.00        | \$25.00        | \$0.50     | —           |
| `anthropic/claude-sonnet-4.5` | \$3.00        | \$15.00        | \$0.30     | —           |
| `claude-opus-4-6`             | \$0.90        | \$4.50         | \$0.09     | \$1.10      |
| `claude-opus-4-7`             | \$1.00        | \$5.00         | \$0.10     | \$1.20      |
| `claude-sonnet-4-6`           | \$0.60        | \$3.00         | \$0.06     | \$0.70      |

### DeepSeek

| Model                    | Input (\$/1M) | Output (\$/1M) | Cache Read | Cache Write |
| ------------------------ | ------------- | -------------- | ---------- | ----------- |
| `deepseek/deepseek-v3.2` | \$0.27        | \$0.40         | \$0.13     | —           |

### Google

| Model                                          | Input (\$/1M) | Output (\$/1M) | Cache Read | Cache Write |
| ---------------------------------------------- | ------------- | -------------- | ---------- | ----------- |
| `google/gemini-2.5-flash-image`                | \$0.30        | \$2.50         | —          | —           |
| `google/gemini-2.5-flash-lite`                 | \$0.10        | \$0.40         | —          | —           |
| `google/gemini-2.5-flash-lite-preview-09-2025` | \$0.10        | \$0.40         | \$0.01     | —           |
| `google/gemini-2.5-pro`                        | \$1.25        | \$10.00        | \$0.12     | —           |
| `google/gemini-2.5-pro-preview`                | \$1.25        | \$10.00        | \$0.12     | —           |
| `google/gemini-3-flash-preview`                | \$0.50        | \$3.00         | \$0.05     | —           |
| `google/gemini-3-pro-image-preview`            | \$2.00        | \$12.00        | —          | —           |
| `google/gemini-3.1-flash-image-preview`        | \$0.50        | \$3.00         | —          | —           |
| `google/gemini-3.1-flash-lite-preview`         | \$0.25        | \$1.50         | —          | —           |
| `google/gemini-3.1-pro-preview`                | \$2.00        | \$12.00        | —          | —           |
| `google/gemini-3.1-pro-preview-customtools`    | \$2.00        | \$12.00        | —          | —           |

### Meta

| Model                                       | Input (\$/1M) | Output (\$/1M) | Cache Read | Cache Write |
| ------------------------------------------- | ------------- | -------------- | ---------- | ----------- |
| `alfredpros/codellama-7b-instruct-solidity` | \$0.80        | \$1.20         | —          | —           |
| `meta-llama/llama-4-maverick`               | \$0.15        | \$0.60         | —          | —           |
| `meta-llama/llama-4-scout`                  | \$0.08        | \$0.30         | —          | —           |
| `meta-llama/llama-guard-4-12b`              | \$0.20        | \$0.20         | —          | —           |

### Mistral

| Model                              | Input (\$/1M) | Output (\$/1M) | Cache Read | Cache Write |
| ---------------------------------- | ------------- | -------------- | ---------- | ----------- |
| `mistralai/devstral-2512`          | \$0.40        | \$2.00         | —          | —           |
| `mistralai/ministral-14b-2512`     | \$0.20        | \$0.20         | —          | —           |
| `mistralai/ministral-3b-2512`      | \$0.10        | \$0.10         | —          | —           |
| `mistralai/ministral-8b-2512`      | \$0.15        | \$0.15         | —          | —           |
| `mistralai/mistral-large-2512`     | \$0.50        | \$1.50         | —          | —           |
| `mistralai/voxtral-small-24b-2507` | \$0.10        | \$0.30         | —          | —           |

### Moonshot

| Model                         | Input (\$/1M) | Output (\$/1M) | Cache Read | Cache Write |
| ----------------------------- | ------------- | -------------- | ---------- | ----------- |
| `moonshotai/kimi-k2-thinking` | \$0.47        | \$2.00         | —          | —           |
| `moonshotai/kimi-k2.5`        | \$0.21        | \$1.00         | \$0.03     | —           |

### OpenAI

| Model                 | Input (\$/1M) | Output (\$/1M) | Cache Read | Cache Write |
| --------------------- | ------------- | -------------- | ---------- | ----------- |
| `gpt-5.3-codex`       | \$0.06        | \$0.48         | \$0.06     | —           |
| `gpt-5.4`             | \$0.07        | \$0.42         | \$0.01     | \$0.09      |
| `gpt-5.5`             | \$0.09        | \$0.72         | \$0.01     | \$0.11      |
| `gpt-image-2`         | \$0.00        | \$0.00         | —          | —           |
| `openai/gpt-4o`       | \$2.50        | \$10.00        | —          | —           |
| `openai/gpt-5-image`  | \$5.00        | \$10.00        | \$1.25     | —           |
| `openai/gpt-5.4-mini` | \$0.75        | \$4.50         | \$0.08     | —           |
| `openai/gpt-5.4-nano` | \$0.20        | \$1.25         | \$0.02     | —           |

### Other

| Model                  | Input (\$/1M) | Output (\$/1M) | Cache Read | Cache Write |
| ---------------------- | ------------- | -------------- | ---------- | ----------- |
| `minimax/minimax-m2.5` | \$0.14        | \$0.56         | \$0.01     | —           |
| `minimax/minimax-m2.7` | \$0.30        | \$1.20         | \$0.06     | —           |
| `xiaomi/mimo-v2-pro`   | \$1.00        | \$3.00         | \$0.20     | —           |

### Qwen

| Model                      | Input (\$/1M) | Output (\$/1M) | Cache Read | Cache Write |
| -------------------------- | ------------- | -------------- | ---------- | ----------- |
| `qwen/qwen3-coder-next`    | \$0.12        | \$0.75         | \$0.04     | —           |
| `qwen/qwen3-max-thinking`  | \$0.78        | \$3.90         | —          | —           |
| `qwen/qwen3.5-122b-a10b`   | \$0.40        | \$3.20         | —          | —           |
| `qwen/qwen3.5-27b`         | \$0.30        | \$2.40         | —          | —           |
| `qwen/qwen3.5-35b-a3b`     | \$0.25        | \$1.30         | —          | —           |
| `qwen/qwen3.5-397b-a17b`   | \$0.60        | \$3.60         | —          | —           |
| `qwen/qwen3.5-9b`          | \$0.10        | \$0.40         | —          | —           |
| `qwen/qwen3.5-flash-02-23` | \$0.10        | \$0.40         | —          | —           |
| `qwen/qwen3.5-plus-02-15`  | \$0.26        | \$1.56         | —          | —           |
| `qwen/qwen3.6-plus`        | \$0.33        | \$1.95         | \$0.03     | —           |

### Zhipu

| Model                | Input (\$/1M) | Output (\$/1M) | Cache Read | Cache Write |
| -------------------- | ------------- | -------------- | ---------- | ----------- |
| `z-ai/glm-4.7-flash` | \$0.06        | \$0.40         | \$0.01     | —           |
| `z-ai/glm-5`         | \$0.95        | \$3.15         | \$0.23     | —           |
| `z-ai/glm-5-turbo`   | \$1.20        | \$4.00         | —          | —           |
| `z-ai/glm-5.1`       | \$1.26        | \$3.96         | \$0.27     | —           |
| `z-ai/glm-5v-turbo`  | \$1.20        | \$4.00         | \$0.29     | —           |

### xAI

| Model                        | Input (\$/1M) | Output (\$/1M) | Cache Read | Cache Write |
| ---------------------------- | ------------- | -------------- | ---------- | ----------- |
| `x-ai/grok-3`                | \$3.00        | \$15.00        | \$0.75     | —           |
| `x-ai/grok-3-mini`           | \$0.30        | \$0.50         | \$0.07     | —           |
| `x-ai/grok-4`                | \$3.00        | \$15.00        | \$0.75     | —           |
| `x-ai/grok-4-fast`           | \$0.20        | \$0.50         | \$0.05     | —           |
| `x-ai/grok-4.1-fast`         | \$0.20        | \$0.50         | \$0.05     | —           |
| `x-ai/grok-4.20`             | \$2.00        | \$6.00         | \$0.20     | —           |
| `x-ai/grok-4.20-multi-agent` | \$2.00        | \$6.00         | \$0.20     | —           |
| `x-ai/grok-code-fast-1`      | \$0.20        | \$1.50         | \$0.02     | —           |

***

## How Pricing Works

1. **Pay-as-you-go**: Top up credits and pay per token used
2. **Subscription passes**: Daily/weekly/monthly passes with daily quota resets
3. **1 USD = 1 credit**: Simple 1:1 conversion

<Card title="Quick Start" icon="rocket" href="/quickstart">
  Get your API key and make your first call in 3 minutes.
</Card>