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How to Access Multiple AI Models with FastAIToken

Learn how to create a FastAIToken account, choose a routing group, configure the OpenAI Python client, make your first language-model request, understand pricing, and select suitable routes for production, enterprise, and video generation workloads.

How to Access Multiple AI Models with FastAIToken

What Is FastAIToken?

FastAIToken is an API aggregation platform for accessing language and video generation models through one account and one API key. Its catalog includes GPT, Claude, Gemini, Grok, DeepSeek, GLM, Kimi, Doubao Seed, Seedance, MiniMax H3, Wan 3.0, and Veo 3.1 models.

FastAIToken platform

Instead of maintaining separate accounts and credentials for multiple providers, you create a key in the FastAIToken console and configure your application with the Base URL supplied there. The available models, routes, and prices can change, so the live information on the FastAIToken website should be treated as authoritative.

Key Features

  • One account and key: Access supported language and video models through a unified platform.
  • Broad model catalog: Choose among international and Chinese model families for chat, coding, reasoning, and generation workloads.
  • Multiple routing groups: Some models have several routes with different price multipliers, reliability characteristics, or enterprise service levels.
  • Flexible video billing: Supported video models may be billed per second or per token, depending on the selected model identifier.
  • Enterprise options: Dedicated routes with SLA support and corporate payment are available.
  • Invoice support: Users can submit a support ticket to request either a standard VAT invoice or a special VAT invoice.

Understand the Pricing Model

FastAIToken states that a recharge of 1 yuan provides 1 US dollar of platform credit. The amount charged for a request is based on the model's listed price and the multiplier of the selected routing group.

Charged price = listed price × group multiplier

Most language-model prices are quoted in US dollars per one million tokens. Video models are exceptions when their pricing is explicitly listed per second. For example, a route with a 0.3x multiplier charges 30% of the listed dollar-denominated platform price.

Prices, model availability, and group multipliers can change. Check the console or official website before estimating production costs.

Examples of Routing Groups

  • OpenAI routes listed in the README range from 0.06x to 0.5x, including dedicated enterprise options.
  • Claude Max routes are listed at 1.5x and 1.9x.
  • Gemini Chat and Coding uses a listed 0.3x multiplier.
  • Chinese-model and Seedance or H3 video groups are listed at 1x, subject to dynamic pricing or current platform terms.

Account and API Setup

  1. Visit FastAIToken and register an account.

  2. Add credit to the account. The platform describes its recharge conversion as 1 yuan = 1 US dollar of credit.

  3. Open the console and create an API key.

  4. Select the routing group appropriate for your model, budget, and reliability requirements.

  5. Copy the Base URL displayed in the console. You will need both the API key and this URL in your client configuration.

The README demonstrates access with the OpenAI Python client. Ensure that the OpenAI package is available in your Python environment before running the example.

pip install openai

Make Your First Request

Create a Python file and initialize the client with the key and Base URL from the FastAIToken console. Replace the placeholders before running the code.

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxxxx",
    base_url="<Base URL supplied by the console>",
)

resp = client.chat.completions.create(
    model="gpt-5.5",
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)

print(resp.choices[0].message.content)

The request uses gpt-5.5 as the model identifier and sends one user message. The generated text is read from resp.choices[0].message.content.

Switch Between Supported Models

To use another available language model, change the model value to the exact identifier shown in the FastAIToken catalog and make sure your selected group supports it. Examples listed in the README include:

  • gpt-5.4-mini
  • claude-sonnet-4-5
  • gemini-3.8-flash
  • deepseek-v4-pro
  • glm-5.3-flash
  • kimi-k3.1-pro
  • doubao-seed-2-1-pro

Do not assume that similarly named models share the same pricing. Input, output, cache-writing, and cache-reading rates may differ, and some models apply higher rates above a context threshold.

Working with Video Models

FastAIToken also lists video generation routes for Seedance, MiniMax H3, Wan 3.0, Veo 3.1, and related models. Video billing follows one of two approaches:

  • Per-second billing: Model identifiers such as minimax-h3-time, wan-3.0-time, and veo3.1-time are priced according to generated video duration. Rates can vary by resolution.
  • Per-token billing: Identifiers such as seedance-2.0-pro-token and seedance-2.5-token use token-based pricing. The listed rate may also differ depending on whether a video reference is supplied.

Before submitting a video job, confirm the exact model identifier, supported resolution, billing mode, and current rate in the console. The README does not provide a video request example, so use the API format documented by the platform for the selected route.

Advanced Usage and Cost Tips

Choose Routes Deliberately

Lower multipliers can reduce cost, while enterprise groups are intended to provide dedicated access and SLA assurances. For important production workloads, compare route stability and service requirements rather than selecting a group solely by its multiplier.

Account for Context-Based Pricing

Some GPT models in the README have separate rates for contexts at or below 272K and above 272K. Several GLM models also distinguish between inputs below 32K and inputs at or above that threshold. Monitor prompt size when estimating costs.

Use Caching Rates in Your Estimates

Where supported, cache writes and cache reads are billed separately from ordinary input and output tokens. Repeated prompts may therefore have a different cost profile than entirely new requests. Check whether the selected model publishes both cache-writing and cache-reading rates.

Plan Around DeepSeek Peak Pricing

The README notes that DeepSeek pricing is doubled during weekday peak periods from 09:00–12:00 and 14:00–18:00, GMT+8. If request timing is flexible, take this schedule into account when planning high-volume jobs.

Protect the API Key

Treat the console-created key as a secret. Do not publish a real key in source code, public repositories, logs, or shared examples. The placeholder sk-xxxxxxxx in the tutorial should always be replaced through a secure application configuration process.

Use Repository Resources

The repository provides an examples directory, a machine-readable pricing.json file, a changelog, and support, security, and contribution documents. These resources can help with integration and price inspection, but current console information takes precedence over repository pricing snapshots.

Enterprise Billing and Support

Organizations can use dedicated OpenAI Pro and Claude Max enterprise routes with SLA support. FastAIToken also supports corporate transfers. To request an invoice, log in to the platform and submit a support ticket; both standard VAT and special VAT invoices are listed as supported.

For platform information, visit the official website. The README also lists QQ group 1019537221 as a community contact channel.

Conclusion

FastAIToken provides a single account, API key, and console-managed Base URL for accessing a broad selection of language and video models. Start by creating a key and selecting a routing group, verify the live model and pricing information, and then use the OpenAI Python client example to send your first chat request. For production use, pay close attention to route multipliers, context tiers, cache charges, peak pricing, and enterprise SLA requirements.