Drop-in replacement for OpenAI API. Same interface, massive savings. Change one line of code and start saving immediately.
base_urlHigh-volume conversational AI where cost per message matters
Batch jobs, data enrichment, content generation at scale
Test your OpenAI integration without burning budget
$0.50-$15 per 1M tokens adds up fast for high-traffic apps
Proprietary models make it hard to switch or self-host later
Usage spikes = surprise bills. Hard to budget for growth.
Open source models (Llama 3, Mistral) + distributed infrastructure = massive savings
Works with OpenAI SDK — just change base_url and you're done
Simple per-token pricing with no surprises. Budget with confidence.
| Feature | OpenAI | GPU AI |
|---|---|---|
| API Interface | ||
| SDK Compatible | ||
| Cost per 1M tokens | $0.50 - $15 | $0.05 - $1.50 |
| Open Source Models | ||
| Distributed Network |
Change one line in your OpenAI client initialization:
# Before
from openai import OpenAI
client = OpenAI(api_key="sk-...")
# After
from openai import OpenAI
client = OpenAI(
api_key="your-gpuai-key",
base_url="https://gpuai.app/api/v1"
)All your existing OpenAI code works as-is:
response = client.chat.completions.create(
model="gpt-3.5-turbo", # Maps to Mistral-7B
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)We support gpt-3.5-turbo, gpt-4o-mini, and gpt-4o. Model names are mapped to equivalent open-source models (Mistral, Phi-3, Llama 3).
Open-source models like Llama 3 8B and Mistral 7B offer comparable quality for most use cases. For critical applications, test with your workload first.
Default limits: 100 requests/minute, 1000 requests/hour. Contact us for higher limits.
Get your free API key and start migrating in minutes.
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