Available balance
$42.80
Available for API usage
LLMPool for developers
Connect leading models. Focus on creating.
One simple API for OpenAI and Anthropic-compatible clients, with the models you need.
LLMPool
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Welcome back, Demo. Here is your account overview.
Today7 days30 days
Requests
12,849
Total in the selected period
Token usage
8.42M
Cache hit rate 68.4%
Spend
$18.64
$2.21 per 1M tokens on average
Token Usage Trend
Daily token usage, cache usage, and cache hit rate
Input TokensOutput TokensCache Read TokensCache Hit Rate
Model spend distribution
Calculated by spend
Total$18.64
gpt-5.6-sol46.2%
claude-sonnet31.8%
deepseek-chat22.0%
Model products
3 available
Compatible protocols
OpenAI + Anthropic
Pricing from
See the marketplace
Billing
Usage-based billing
Recent activity
Updating live
New activity, as it happens.
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Model access, made simple
Make time for what matters.
Keep model access, usage, and billing together. Leave the infrastructure to LLMPool.
One integration
Use familiar clients with a stable entry point for each protocol.
A broad model selection
Choose from leading models to match each task and workflow.
Usage and costs at a glance
See the model, token usage, and actual cost behind every request.
For common AI workflows
From live interactions to batch processing.
Use one account and billing system across text, image, audio, and asynchronous workloads.
Chat
Build assistants, Q&A, and multi-turn experiences.
Reasoning
Handle complex analysis and longer-running tasks.
Code
Support generation, explanation, and engineering work.
Image
Generate, understand, and process visual content.
Audio
Cover transcription, synthesis, and audio understanding.
Batch
Process model requests asynchronously at scale.
Make your first call in two steps
Choose a compatible protocol and use the Base URL with your existing client.
Minimal example · Python
https://api.aifarmer.vip/openai/v1from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.aifarmer.vip/openai/v1"
)
response = client.chat.completions.create(
model="your-product-id",
messages=[{"role": "user", "content": "Hello"}]
)