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.
Branded AI BADGR tiers (Basic, Normal, Premium) + 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 | AI Badgr |
|---|---|---|
| API Interface | ||
| SDK Compatible | ||
| Cost per 1M tokens | $0.50 - $15 | $0.15 - $1.20 |
| Tier Selection | ||
| 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-aibadgr-key",
base_url="https://aibadgr.com/api/v1"
)All your existing OpenAI code works as-is:
response = client.chat.completions.create(
model="gpt-3.5-turbo", # Maps to AI BADGR Normal
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 AI BADGR tiers (Basic, Normal, Premium).
AI BADGR tiers 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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