Rate Limits by Plan
| Plan | Open-Source RPD | Closed-Source RPD | Pro Models RPD |
|---|
| Free | 150 | 70 | 0 |
| Starter | 2,000 | 1,000 | 0 |
| Pro | 4,500 | 2,500 | 650 |
| Enterprise | Unlimited | Unlimited | Unlimited |
Model Classes
| Class | Examples |
|---|
| Open-Source | Llama, Mistral, Mixtral, DeepSeek, Qwen |
| Closed-Source | GPT-4o, Claude, Gemini, Grok |
| Pro | Sora, Veo, DALL-E 3 HD, gpt-4.5 |
X-RateLimit-Limit-Requests: 2000
X-RateLimit-Remaining-Requests: 1847
X-RateLimit-Reset-Requests: 2024-01-01T00:00:00Z
Handling Rate Limit Errors
When you hit a rate limit, the API returns HTTP 429:
{
"error": {
"type": "rate_limit_exceeded",
"message": "Rate limit exceeded. You have used 2000/2000 requests today.",
"code": 429
}
}
Retry with Exponential Backoff
import time
import random
from openai import OpenAI, RateLimitError
client = OpenAI(
api_key="sk-samurai-YOUR_KEY",
base_url="https://api.samuraiapi.in/v1"
)
def chat_with_retry(messages, max_retries=5):
for attempt in range(max_retries):
try:
return client.chat.completions.create(
model="gpt-4o",
messages=messages
)
except RateLimitError as e:
if attempt == max_retries - 1:
raise
wait = (2 ** attempt) + random.random() # Exponential backoff
print(f"Rate limited. Retrying in {wait:.1f}s...")
time.sleep(wait)
Rate limits reset at midnight UTC. Contact support for enterprise rate limit increases.
