Llama 3.3 70B Instruct
v0.3Llama 3.3 70B Instruct is a 70B-parameter open-weight large language model from Meta, optimized for instruction following, complex reasoning, and multi-turn conversations.It is well suited for enterprise use cases such as advanced chat assistants, code reasoning, and long-document analysis with large context windows.
input tokens
output tokens
Cached $0.12$0.10/1M cached tokens
from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="meta-llama/Llama-3.3-70B-Instruct", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=4096, temperature=0.7, top_p=0.9, stream=True ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n") Enterprise
Platform Integration
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Official Docker images for containerized deployments
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SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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"Qubrid AI reduced our document processing time by over 60% and significantly improved retrieval accuracy across our RAG workflows."
Enterprise AI Team
Document Intelligence Platform