OpenAI, Anthropic, and Google
LLMs at a 40% discount

OpenAI, Anthropic, and Google
LLMs at a 40% discount

OpenAI, Anthropic,
and Google LLMs
at a 40% discount

Dashboard Mockup
Dashboard Mockup

FEATURES

Built for Scale

Enterprise Grade Performance

Edge deployed with automatic fallover for best-in-class uptime.

Bento Visual

Team Seats

Empower your team to experiment, test, and build with shared API credits.

Unified API Interface

Compatible with the OpenAI API format for seamless migration and integration.

Multi-provider Support

Connect to various LLM providers through a single gateway.

Usage Analytics

Track requests, tokens used, response times, and costs across all providers.

FEATURES

Built for Scale

Enterprise Grade Performance

Edge deployed with automatic fallover for best-in-class uptime.

Bento Visual

Team Seats

Empower your team to experiment, test, and build with shared API credits.

Unified API Interface

Compatible with the OpenAI API format for seamless migration and integration.

Multi-provider Support

Connect to various LLM providers through a single gateway.

Usage Analytics

Track requests, tokens used, response times, and costs across all providers.

FEATURES

Built for Scale

Enterprise Grade Performance

Edge deployed with automatic fallover for best-in-class uptime.

Bento Visual

Team Seats

Empower your team to experiment, test, and build with shared API credits.

Unified API Interface

Compatible with the OpenAI API format for seamless migration and integration.

Multi-provider Support

Connect to various LLM providers through a single gateway.

Usage Analytics

Track requests, tokens used, response times, and costs across all providers.

SETUP

SETUP

SETUP

Seamless Integrations

Just change your API endpoint and keep your existing code. Works with any language or framework.

from openai import OpenAI

client = OpenAI(
    base_url="https://app.liteapi.ai/api/v1",
    api_key="<LiteAPI_API_KEY>",
)

completion = client.chat.completions.create(
    model="openai/gpt-4o",
    messages=[{"role": "user", "content": "Hello, how are you?"}]
  
print(completion.choices[0].message)

PROVIDERS

  • perplexity logo
  • meta logo
  • openai logo

PROVIDERS

  • perplexity logo
  • meta logo
  • openai logo

PROVIDERS

  • perplexity logo
  • meta logo
  • openai logo

“ChatHub is an AI comparison platform and LiteAPI has been an amazing partner to help us reduce our costs. Getting set up was really simple.”

Jamie Rush, Co-Founder

Client Image

“ChatHub is an AI comparison platform and LiteAPI has been an amazing partner to help us reduce our costs. Getting set up was really simple.”

Jamie Rush, Co-Founder

“ChatHub is an AI comparison platform and LiteAPI has been an amazing partner to help us reduce our costs. Getting set up was really simple.”

Jamie Rush, Co-Founder

FAQs

Frequently Asked Questions

How does LiteAPI offer API credits at a discount?
icon

LiteAPI is an AI aggregation platform first — cost savings are a powerful, but secondary, benefit. When we secure preferred contracts and credits from cloud partners, model providers, and VCs, we pass those inference savings directly to our customers. Because these deals can change over time, discounts are variable and may differ by provider, model, or period. If our underlying cost structure changes, we’ll give at least 30 days’ notice before adjusting prices.

How is LiteAPI different from OpenRouter or direct API access?
icon

Unlike OpenRouter, LiteAPI focuses solely on production-grade models from OpenAI, Anthropic, and Google—an aggregation layer first, with variable discounts on inference (sometimes up to ~50%) when we secure preferred contracts and VC-backed credits.

Is LiteAPI secure?
icon

Provider training is opt-out by default. Where OpenAI / Anthropic / Google support it, we set the flags so your data is not used to improve their models. All traffic is encrypted with TLS 1.3, and your keys are stored with AES-256 encryption. We never log or store your prompt data. LiteAPI does not use or store your prompts or completions for training or analytics.

Do you support embeddings, vision, or function calling?
icon

Yes. All major model capabilities (text, vision, embeddings, and function calling) are supported where available from the provider.

Can I get custom pricing or enterprise plans?
icon

Yes. Teams spending over $50,000/month on LLM usage can contact us for custom discounts and dedicated support.

Is there extra latency compared to calling the providers directly?
icon

Our edge routing adds typically < 15 ms on top of the model latency. For most workloads the cost savings far outweigh this overhead.

FAQs

Frequently Asked Questions

How does LiteAPI offer API credits at a discount?
icon

LiteAPI is an AI aggregation platform first — cost savings are a powerful, but secondary, benefit. When we secure preferred contracts and credits from cloud partners, model providers, and VCs, we pass those inference savings directly to our customers. Because these deals can change over time, discounts are variable and may differ by provider, model, or period. If our underlying cost structure changes, we’ll give at least 30 days’ notice before adjusting prices.

How is LiteAPI different from OpenRouter or direct API access?
icon

Unlike OpenRouter, LiteAPI focuses solely on production-grade models from OpenAI, Anthropic, and Google—an aggregation layer first, with variable discounts on inference (sometimes up to ~50%) when we secure preferred contracts and VC-backed credits.

Is LiteAPI secure?
icon

Provider training is opt-out by default. Where OpenAI / Anthropic / Google support it, we set the flags so your data is not used to improve their models. All traffic is encrypted with TLS 1.3, and your keys are stored with AES-256 encryption. We never log or store your prompt data. LiteAPI does not use or store your prompts or completions for training or analytics.

Do you support embeddings, vision, or function calling?
icon

Yes. All major model capabilities (text, vision, embeddings, and function calling) are supported where available from the provider.

Can I get custom pricing or enterprise plans?
icon

Yes. Teams spending over $50,000/month on LLM usage can contact us for custom discounts and dedicated support.

Is there extra latency compared to calling the providers directly?
icon

Our edge routing adds typically < 15 ms on top of the model latency. For most workloads the cost savings far outweigh this overhead.

FAQs

Frequently Asked Questions

How does LiteAPI offer API credits at a discount?
icon

LiteAPI is an AI aggregation platform first — cost savings are a powerful, but secondary, benefit. When we secure preferred contracts and credits from cloud partners, model providers, and VCs, we pass those inference savings directly to our customers. Because these deals can change over time, discounts are variable and may differ by provider, model, or period. If our underlying cost structure changes, we’ll give at least 30 days’ notice before adjusting prices.

How is LiteAPI different from OpenRouter or direct API access?
icon

Unlike OpenRouter, LiteAPI focuses solely on production-grade models from OpenAI, Anthropic, and Google—an aggregation layer first, with variable discounts on inference (sometimes up to ~50%) when we secure preferred contracts and VC-backed credits.

Is LiteAPI secure?
icon

Provider training is opt-out by default. Where OpenAI / Anthropic / Google support it, we set the flags so your data is not used to improve their models. All traffic is encrypted with TLS 1.3, and your keys are stored with AES-256 encryption. We never log or store your prompt data. LiteAPI does not use or store your prompts or completions for training or analytics.

Do you support embeddings, vision, or function calling?
icon

Yes. All major model capabilities (text, vision, embeddings, and function calling) are supported where available from the provider.

Can I get custom pricing or enterprise plans?
icon

Yes. Teams spending over $50,000/month on LLM usage can contact us for custom discounts and dedicated support.

Is there extra latency compared to calling the providers directly?
icon

Our edge routing adds typically < 15 ms on top of the model latency. For most workloads the cost savings far outweigh this overhead.

CUT YOUR LLM SPEND BY 40%

CUT YOUR LLM SPEND BY 40%

CUT YOUR LLM SPEND BY 40%

One API. Faster integration. Lower cost.

Redeem $20 API Credit

Get Started - It’s free