HUGGING FACE ALTERNATIVE
If you have been hitting Hugging Face Inference API rate limits or dealing with cold starts, try Runcrate. Same open-source models, served on dedicated GPUs with consistent latency. OpenAI-compatible format means you can switch with minimal code changes. Over 200 models available immediately.
QUICK START
from openai import OpenAI
# Switch from HF Inference to Runcrate
client = OpenAI(
base_url="https://api.runcrate.ai/v1",
api_key="rc_live_YOUR_API_KEY",
)
response = client.chat.completions.create(
model="meta-llama/Llama-3.3-70B-Instruct",
messages=[
{"role": "user", "content": "What are the key differences between RAG and fine-tuning?"}
],
)
print(response.choices[0].message.content)AVAILABLE MODELS
| Model | Provider | Price | Detail |
|---|---|---|---|
| meta-llama/Llama-4-Scout-17B-16E-Instruct | Meta | Per-token | 17B MoE, 128K context |
| deepseek-ai/DeepSeek-V3 | DeepSeek | Per-token | 128K context, MoE |
| Qwen/Qwen3-32B | Alibaba | Per-token | 32B, multilingual |
| google/gemma-3-27b-it | Per-token | 27B, instruction-tuned |
WHY RUNCRATE
Models are always warm and ready. No waiting 30+ seconds for a model to load into memory. First request is as fast as the thousandth.
Dedicated GPU serving with consistent P50 and P99 latency. No shared queues, no variable wait times during peak hours.
Standard chat completions, embeddings, and image generation endpoints. Use the OpenAI SDK, LangChain, or any OpenAI-compatible client.
Prepaid credits with no surprise bills. Know exactly what you are spending. No per-seat licensing, no monthly minimums.
COMPARISON
| Feature | Runcrate | HF Inference API |
|---|---|---|
| Cold starts | None | 10-60s on free tier |
| Rate limits | Generous, credit-based | Strict, tier-based |
| API format | OpenAI-compatible | Custom + OpenAI |
| Latency consistency | Dedicated GPUs | Shared infrastructure |
| Chat + image + audio | All via one API key | Separate endpoints |
FAQ