Same API. Open models. Your documents. No idle GPU costs.
Drop in a Lexora API key and keep your OpenAI SDK. Get Qwen3, DeepSeek, Kimi, and FLUX — plus free knowledge bases so your chatbot actually knows your data.
OpenAI-compatible — drop-in
Same /v1/chat/completions, same streaming, same SDK. Change the base URL, keep your code.
Open-weight models, no lock-in
Qwen3 8B hosted on our distributed network. DeepSeek V4, Kimi 2.7, FLUX Dev through partner routing. You're never stuck on one vendor.
Built-in RAG for free
OpenAI Assistants API charges per assistant + storage + vector hours. Lexora gives you knowledge bases included — pay only for inference.
Distributed, not idle
Inference runs on a distributed network of providers. You pay per token generated — never for warm GPUs sitting idle.
Lexora vs OpenAI
Side-by-side breakdown of what matters.
How simple it looks
Drop-in OpenAI-compatible API. No special SDK.
from openai import OpenAI
# Only thing that changes: the base URL
client = OpenAI(
base_url="https://api.lexora.network/v1",
api_key="YOUR_LEXORA_KEY",
)
resp = client.chat.completions.create(
model="Qwen/Qwen3-8B", # or DeepSeek, Kimi, etc.
messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)Keep your OpenAI SDK. Drop OpenAI's bill.
Start free with $1 signup credit. Build a knowledge base, run inference across hosted and frontier models, and pay only when you use it.
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