LLM Resayil API Pricing: Pay-Per-Use Credits Explained

Introduction

Developers building AI-powered applications often face a common challenge: finding an LLM API with flexible billing that doesn’t lock them into rigid subscription plans. Many providers require monthly commitments or complex pricing tiers, making it difficult to scale usage up or down based on project needs. LLM Resayil addresses this problem with a transparent pay-per-use credit system that allows you to pay only for what you consume—no subscriptions, no hidden fees, and full compatibility with OpenAI and Anthropic SDKs.

In this guide, we’ll break down how LLM Resayil’s pricing works, the supported payment methods, how to access pricing data programmatically, and how to manage costs efficiently. Whether you’re prototyping a new feature or scaling an enterprise application, this model gives you the flexibility to control your spending while accessing a diverse catalog of 33 AI models.

Pay-Per-Use vs. Subscription: What LLM Resayil Offers

| Feature | LLM Resayil (Pay-Per-Use) | OpenAI Direct API (Subscription-Based) | |-----------------------------|----------------------------------------|-----------------------------------------------| | Billing Model | Pay-per-use credits | Subscription tiers + pay-per-use | | Minimum Commitment | None | Monthly minimums for some plans | | Supported Currencies | USD | USD, EUR, GBP (varies by region) | | Payment Methods | Stripe, PayPal | Credit card, invoice (for enterprise) | | API Compatibility | OpenAI, Anthropic | OpenAI (native) | | Active Models | 33 | 5+ (varies by tier) | | Arabic Language Support | Yes | Limited | | Streaming | Yes | Yes | | Function Calling | Yes | Yes | | Vision Models | Yes | Yes (GPT-4 Vision) | | Thinking Models | Yes | No | | Tool Use | Yes | Yes (via function calling) |

Understanding the Pay-Per-Use Credit Model

LLM Resayil’s pay-per-use credit system is designed for simplicity and flexibility. Here’s how it works:

1. No Subscriptions, No Commitments

Unlike traditional API providers that require monthly subscriptions or minimum spend commitments, LLM Resayil allows you to purchase credits upfront and use them as needed. This model is ideal for developers who:

• Need to test or prototype without long-term contracts.
• Want to scale usage dynamically based on demand.
• Prefer to avoid surprise bills from overage charges.

Each credit corresponds to a specific amount of API usage, and the cost varies depending on the model you select. For example, a high-performance thinking model like deepseek-v4-pro may consume more credits per request than a smaller chat model like ministral-3:3b.

2. Transparent Credit Deduction

When you make an API call, the system deducts credits from your balance based on:

• Input tokens: The number of tokens in your prompt or message.
• Output tokens: The number of tokens generated by the model.
• Model pricing: Different models have different credit rates (e.g., vision models may cost more than chat models).

You can monitor your credit balance in real time via the LLM Resayil Portal, ensuring you always know how much you’ve spent and how much remains.

3. No Hidden Fees or Overage Charges

With LLM Resayil, you only pay for the credits you purchase. There are no overage fees, and you won’t be charged for usage beyond your available balance. If your balance runs low, you can top up at any time using Stripe or PayPal—no auto-renewals or unexpected charges.

4. Ideal for Variable Workloads

The pay-per-use model is particularly well-suited for:

• Startups: Scale usage as your user base grows without upfront costs.
• Agencies: Allocate credits across multiple client projects.
• Researchers: Experiment with different models without committing to a subscription.
• Enterprises: Control costs for internal tools or customer-facing applications.

Supported Payment Methods and Billing Currency

LLM Resayil simplifies billing by supporting two widely used payment providers and a single currency for all transactions.

1. Billing Currency: USD Only

All credit purchases, API usage costs, and top-ups are processed exclusively in USD (United States Dollar). This ensures consistency in pricing and eliminates currency conversion fees for international users. Whether you’re based in the Middle East, Europe, or Asia, you’ll see the same credit rates and can plan your budget accordingly.

2. Payment Methods: Stripe and PayPal

You can purchase credits using:

• Stripe: A secure and widely trusted payment processor that supports credit/debit cards (Visa, Mastercard, American Express) and digital wallets like Apple Pay and Google Pay.
• PayPal: A convenient option for users who prefer to pay with their PayPal balance or linked bank accounts.

Both payment methods are integrated directly into the LLM Resayil Portal, allowing you to top up your balance in just a few clicks. There are no additional fees for using either provider—you’ll only pay the listed credit price.

3. Topping Up Your Balance

To add credits to your account:

1. Log in to the LLM Resayil Portal.
2. Navigate to the Billing or Credits section.
3. Select your desired credit amount.
4. Choose Stripe or PayPal as your payment method.
5. Complete the transaction.

Your credits will be available immediately after payment is processed. You can check your balance at any time in the portal or via the API (more on that in the next section).

4. Why USD and These Payment Methods?

• USD: The most widely accepted currency for global transactions, reducing complexity for international users.
• Stripe: Known for its developer-friendly API and strong fraud protection.
• PayPal: Offers an additional layer of buyer protection and is trusted by millions of users worldwide.

Accessing Pricing Data via API Endpoints

LLM Resayil provides two key API endpoints to help you programmatically retrieve pricing information and manage your usage:

1. /v1/pricing Endpoint

This endpoint returns the current credit rates for all available models, allowing you to:

• Compare costs between models before making a request.
• Estimate the credit cost of a specific API call.
• Integrate pricing data into your own dashboards or cost-tracking tools.

Example Request (cURL):

curl -X GET "https://llm.resayil.io/v1/pricing" \
  -H "Authorization: Bearer YOUR_API_KEY"

Example Response:

{
  "data": [
    {
      "model": "kimi-k2.6",
      "category": "thinking",
      "input_credits_per_token": 0.0001,
      "output_credits_per_token": 0.0002
    },
    {
      "model": "ministral-3:3b",
      "category": "chat",
      "input_credits_per_token": 0.00005,
      "output_credits_per_token": 0.0001
    }
  ]
}

2. /v1/pricing/topups Endpoint

This endpoint provides information about available credit top-up amounts and their corresponding USD prices. You can use this to:

• Display top-up options in your application.
• Automate credit purchases for your users.

Example Request (cURL):

curl -X GET "https://llm.resayil.io/v1/pricing/topups" \
  -H "Authorization: Bearer YOUR_API_KEY"

Example Response:

{
  "data": [
    {
      "credits": 1000,
      "price_usd": 10.00
    },
    {
      "credits": 5000,
      "price_usd": 45.00
    },
    {
      "credits": 10000,
      "price_usd": 80.00
    }
  ]
}

3. /v1/models Endpoint

While not strictly a pricing endpoint, /v1/models returns the full list of available models, including their categories (e.g., chat, vision, thinking). You can combine this with /v1/pricing to build a complete cost calculator for your application.

Example Request (cURL):

curl -X GET "https://llm.resayil.io/v1/models" \
  -H "Authorization: Bearer YOUR_API_KEY"

Example Response:

{
  "data": [
    {
      "id": "kimi-k2.6",
      "name": "Kimi K2.6",
      "category": "thinking"
    },
    {
      "id": "glm-5",
      "name": "GLM-5",
      "category": "vision"
    }
  ]
}

4. Why Programmatic Pricing Access Matters

• Cost Transparency: Developers can build tools to estimate costs before making API calls.
• Dynamic Model Selection: Switch between models based on cost and performance needs.
• Budget Automation: Integrate with your own systems to monitor and control spending.

Model Catalog and Usage Costs

LLM Resayil offers a diverse catalog of 33 active models, categorized to help you choose the right one for your use case. Below is an overview of the model categories and their typical use cases, along with guidance on how to estimate costs.

1. Model Categories

| Category | Description | Example Models | |---------------|-----------------------------------------------------------------------------|-----------------------------------------| | Chat | Optimized for conversational AI, customer support, and general Q&A. | ministral-3:3b, nemotron-3-nano:30b | | Thinking | Designed for complex reasoning, problem-solving, and multi-step tasks. | deepseek-v4-pro, qwen3.5:397b | | Vision | Supports image analysis, OCR, and multimodal tasks. | glm-5, glm-4.7 | | Code | Fine-tuned for code generation, debugging, and technical documentation. | devstral-2:123b, qwen3-coder:480b |

2. Estimating Usage Costs

The cost of using a model depends on:

• Input tokens: The length of your prompt or message.
• Output tokens: The length of the model’s response.
• Model rate: Each model has a specific credit cost per token (retrievable via /v1/pricing).

Example Cost Calculation:

Suppose you use the kimi-k2.6 model (thinking category) with:

• Input tokens: 500
• Output tokens: 200
• Pricing (from /v1/pricing):
  • Input: 0.0001 credits/token
  • Output: 0.0002 credits/token

Total cost = (500 × 0.0001) + (200 × 0.0002) = 0.05 + 0.04 = 0.09 credits

3. Choosing the Right Model

• For cost efficiency: Start with smaller models like ministral-3:3b or gemma3:4b for simple tasks.
• For high performance: Use thinking models like deepseek-v4-pro or qwen3.5:397b for complex reasoning.
• For multimodal tasks: Vision models like glm-5 support image inputs alongside text.

4. Accessing Models via the API

All models are accessible via the /v1/chat/completions and /v1/messages endpoints. Here’s an example using the kimi-k2.6 model:

Python Example:

import requests

url = "https://llm.resayil.io/v1/chat/completions"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}
payload = {
    "model": "kimi-k2.6",
    "messages": [
        {"role": "user", "content": "Explain the pay-per-use credit model in simple terms."}
    ]
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())

Integrations and Cost Management

LLM Resayil is designed to integrate seamlessly with your existing workflows, helping you manage costs while maximizing efficiency. Here’s how you can leverage integrations to optimize spending:

1. LangChain and LiteLLM

• LangChain: A popular framework for building LLM-powered applications. LLM Resayil’s OpenAI-compatible API works out of the box with LangChain, allowing you to switch between models without rewriting your code.

  Example (LangChain):

  from langchain.chat_models import ChatOpenAI
  
  llm = ChatOpenAI(
      openai_api_base="https://llm.resayil.io/v1",
      openai_api_key="YOUR_API_KEY",
      model_name="kimi-k2.6"
  )
  response = llm(["Explain the pay-per-use model."])
  print(response)
  

• LiteLLM: A lightweight library that standardizes interactions with multiple LLM providers. Use it to compare costs across models or providers.

  Example (LiteLLM):

  from litellm import completion
  
  response = completion(
      model="resayil/kimi-k2.6",
      messages=[{"role": "user", "content": "What is the pay-per-use model?"}],
      api_base="https://llm.resayil.io/v1",
      api_key="YOUR_API_KEY"
  )
  print(response)
  

2. n8n for Workflow Automation

n8n is a workflow automation tool that lets you connect LLM Resayil with other services (e.g., databases, CRM systems). Use it to:

• Automate credit top-ups when your balance is low.
• Route requests to the most cost-effective model based on your needs.
• Log usage data for internal cost tracking.

3. OpenAI and Anthropic SDKs

LLM Resayil is fully compatible with the OpenAI SDK and Anthropic SDK, so you can use existing code with minimal changes. This is especially useful if you’re migrating from another provider or want to avoid vendor lock-in.

Example (OpenAI SDK):

from openai import OpenAI

client = OpenAI(
    base_url="https://llm.resayil.io/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="kimi-k2.6",
    messages=[{"role": "user", "content": "Explain pay-per-use credits."}]
)
print(response.choices[0].message.content)

4. Cost Management Tips

• Monitor Usage: Use the /v1/messages/count_tokens endpoint to estimate token counts before making API calls.
• Choose the Right Model: Smaller models (e.g., ministral-3:3b) are cheaper for simple tasks, while larger models (e.g., deepseek-v4-pro) excel at complex reasoning.
• Batch Requests: Combine multiple prompts into a single request where possible to reduce overhead.
• Cache Responses: Store frequent responses to avoid redundant API calls.

FAQ

curl -X GET "https://llm.resayil.io/v1/pricing" \
  -H "Authorization: Bearer YOUR_API_KEY"

Conclusion

LLM Resayil’s pay-per-use credit model offers developers a flexible, transparent, and cost-effective way to access a diverse catalog of 33 AI models. With no subscriptions, no hidden fees, and full compatibility with OpenAI and Anthropic SDKs, it’s an ideal choice for projects of any scale—from prototypes to production applications.

Key Takeaways:

• Pay only for what you use: Purchase credits upfront and consume them as needed.
• 33 models to choose from: Select the right model for your task, whether it’s chat, thinking, vision, or code.
• USD billing via Stripe/PayPal: Simple, secure transactions with no currency conversion fees.
• Programmatic pricing access: Use /v1/pricing and /v1/models to build cost-aware applications.
• Seamless integrations: Works with LangChain, LiteLLM, n8n, and existing SDKs.

Next Steps:

1. Explore the model catalog: Visit the LLM Resayil Portal to browse available models.
2. Purchase credits: Top up your balance via Stripe or PayPal.
3. Start building: Integrate LLM Resayil into your application using the API documentation.

For developers seeking a flexible, no-commitment LLM API, LLM Resayil delivers the tools you need to build smarter, faster, and more cost-effectively.

Get Started with LLM Resayil