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FAQ ​

1. What is AI-TokenHub? ​

AI-TokenHub is an enterprise-level LLM Token platform that provides a unified API interface to access different AI models. You can use the full range of seed series large models with a single API Key.

2. How to get started? ​

  1. Register and login to AI-TokenHub
  2. Create API Key in the console
  3. Use API Key to call endpoints

See Quick Start for details.

3. Which models are supported? ​

We fully support the seed series of large models, with specific parameters as follows:

✅ Latest Version Models ​

Model IDCapabilitiesToken LimitRate Limit
deepseek-v4-pro-ga-260813Deep Thinking, Text Generation, Tool Calling, Structured OutputContext Window: 1024k
Max Input: 1024k
Max Output (default 4k): 384k
Max Chain of Thought: 128k
Max RPM: 500
Max TPM: 1000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
deepseek-v4-flash-ga-260731Deep Thinking, Text Generation, Tool Calling, Structured OutputContext Window: 1024k
Max Input: 1024k
Max Output (default 4k): 384k
Max Chain of Thought: 128k
Max RPM: 500
Max TPM: 1000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
deepseek-v4-1-flash-260910Deep Thinking, Text Generation, Multimodal Understanding, Tool Calling, Structured OutputContext Window: 1024k
Max Input: 1024k
Max Output (default 4k): 384k
Max Chain of Thought: 384k
Max RPM: 500
Max TPM: 1000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
glm-5-2-260617Deep Thinking, Text Generation, Tool CallingContext Window: 1024k
Max Input: 1024k
Max Output (default 4k): 128k
Max Chain of Thought: 128k
Max RPM: 500
Max TPM: 1000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
doubao-seed-character-251128Text Generation, Tool CallingContext Window: 128k
Max Input: 96k
Max Output (default 4k): 32k
Max RPM: 500
Max TPM: 1000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
doubao-seed-evolvingDeep Thinking, Text Generation, Multimodal Understanding, GUI Task Processing, Tool Calling, Structured OutputContext Window: 1024k
Max Input: 1024k
Max Output (default 4k): 256k
Max Chain of Thought: 256k
Max RPM: 500
Max TPM: 1000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
doubao-seed-2-1-pro-260628Deep Thinking, Text Generation, Multimodal Understanding, GUI Task Processing, Tool Calling, Structured Output (json_schema mode recommended)Context Window: 256k
Max Input: 256k
Max Output (default 4k): 256k
Max Chain of Thought: 256k
Max RPM: 500
Max TPM: 1000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
doubao-seed-2-1-lite-260915Deep Thinking, Text Generation, Multimodal Understanding, Tool Calling, Structured OutputContext Window: 1024k
Max Input: 1024k
Max Output (default 4k): 256k
Max Chain of Thought: 256k
Max RPM: 500
Max TPM: 1000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
doubao-seed-2-1-pro-260915Deep Thinking, Text Generation, Multimodal Understanding, GUI Task Processing, Tool Calling, Structured OutputContext Window: 1024k
Max Input: 1024k
Max Output (default 4k): 256k
Max Chain of Thought: 256k
Max RPM: 500
Max TPM: 1000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
glm-5-3-flash-260826Deep Thinking, Text Generation, Multimodal Understanding, Tool CallingContext Window: 1024k
Max Input: 1024k
Max Output (default 4k): 128k
Max Chain of Thought: 128k
Max RPM: 500
Max TPM: 1000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
glm-5-3-260814Deep Thinking (forced), Text Generation, Tool Calling, Structured Output, Streaming Tool ParametersContext Window: 1024k (1M)
Max Input: 1024k
Max Output: 128k
Max Chain of Thought: 128k (built into the context)
Max RPM: 500 (standard)
Max TPM: 1,000,000
Note: Deep thinking mode is always on and cannot be disabled; supports tool stream=true for streaming tool parameter returns.
kimi-k3-260716Deep Thinking, Text Generation, Tool Calling, Native Multimodal Visual Understanding, Streaming Output (stream), JSON Structured OutputContext Window: 1024k
Max Input: 1024k
Max Output (default 4k): 128k
Max Chain of Thought: 128k
Max RPM: 500
Max TPM: 1000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
doubao-seed-2-0-pro-260215Deep Thinking, Text Generation, Multimodal Understanding, GUI Task Processing, Tool Calling, Structured OutputContext Window: 256k
Max Input: 224k
Max Output (default 4k): 128k
Max Chain of Thought: 128k
Max RPM: 30000
Max TPM: 5000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
doubao-seed-2-0-lite-260215Deep Thinking, Text Generation, Multimodal Understanding, GUI Task Processing, Tool Calling, Structured OutputContext Window: 256k
Max Input: 224k
Max Output (default 4k): 128k
Max Chain of Thought: 128k
Max RPM: 30000
Max TPM: 5000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
doubao-seed-2-0-mini-260215Deep Thinking, Text Generation, Multimodal Understanding, GUI Task Processing, Tool Calling, Structured OutputContext Window: 256k
Max Input: 224k
Max Output (default 4k): 128k
Max Chain of Thought: 128k
Max RPM: 30000
Max TPM: 5000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details
seed-2-0-code-preview-260215Deep Thinking, Text Generation, Multimodal Understanding, Tool CallingContext Window: 256k
Max Input: 256k
Max Output (default 4k): 128k
Max Chain of Thought: 128k
Max RPM: 30000
Max TPM: 5000000
Non-rigid guarantee, affected by platform load/calling method, see documentation for details

4. Is API compatible with OpenAI? ​

Yes, AI-TokenHub API is fully compatible with OpenAI API format. You can use OpenAI SDK directly, just modify base_url:

python
from openai import OpenAI

client = OpenAI(
    base_url="https://ai-tokenhub.com/api/v1",
    api_key="$YOUR_API_KEY"
)

5. How does billing work? ​

  • Charged by token usage
  • Different models have different pricing
  • View real-time usage and costs in console
  • Supports recharge and quota management

6. How to handle rate limits? ​

When rate limit is exceeded, API returns 429 error. Recommendations:

  1. Implement retry mechanism, wait and retry
  2. Batch process requests to reduce request count
  3. Use streaming to reduce concurrency

See API Key Limits for details.

When the primary model is unavailable, the system automatically tries fallback models.

7. Is streaming supported? ​

Yes. Set stream: true to enable streaming. See Streaming for details.

8. How to get technical support? ​

  • Check Errors and Debugging documentation
  • Login to console to view usage logs
  • Contact customer service for help