Llama-3.3-70B-Instruct

Llama 3.3 70B Instruct is an auto-regressive language model built on an optimized transformer architecture. Designed to provide high-performance capabilities at a more accessible scale, it is engineered to deliver results comparable to much larger models. The architecture is particularly well-suited for complex tasks including advanced reasoning, mathematical problem-solving, and precise function calling, making it a robust choice for developers building autonomous agents and interactive applications that require both speed and depth.

The model undergoes a rigorous alignment process, utilizing supervised fine-tuning and reinforcement learning with human feedback to ensure responses are helpful and safe. By leveraging a diverse mix of publicly available online data, the model achieves strong multilingual proficiency and instruction-following accuracy. Its design allows for efficient deployment on standard hardware, providing a practical path for integrating sophisticated AI features into production environments without the overhead associated with larger, more resource-intensive models.

Llamallama-3.3-70b-instructllama

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Quick Info

Provider: Llama
Model key: llama-3.3-70b-instruct
Release date: Dec 6, 2024
Last updated: Dec 6, 2024
Knowledge cutoff: 2023-12
Input modalities
Output modalities
Capabilities

Cost

A provider subscription or plan supersedes token-based pricing for this model.

Limits

Output tokens: 4,096 tokens
Context window: 128,000 tokens

Latest news about Llama-3.3-70B-Instruct

Llama

CoverageBenchmark

Lyceum Technology is offering Llama-3.3-70B-Instruct through an OpenAI-compatible serverless inference API hosted in its eu-north1 region. The page says teams can migrate an existing application by changing the base URL and API key, with no application rewrite or proprietary framework required. The listing reports pay-per-token pricing of $0.13 per million input tokens and $0.40 per million output tokens, no minimum commitment, and dynamic scaling. The API model string is meta-llama/Llama-3.3-70B-Instruct; the page also describes the service as hosted in European data centers for GDPR compliance.

Llama

CoverageRelease Notes

Meta has released a new model, Llama 3.3 70B Instruct, now available in GitHub Models. It provides similar performance to Llama 3.1 405B, but at a...

Llama

CoverageBenchmark

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). $0 per million input tokens, $0 per million output tokens. 65,536 token context window. Higher uptime with 14 providers. Includes independent benchmarks from Artificial Analysis.

Llama

Coverage

Llama 3.3 70B Instruct is the December update of Llama 3.1 70B. The model improves upon Llama 3.1 70B (released July 2024) with advances in tool calling, multilingual text support, math and coding. The model achieves industry leading results in reasoning, math and instruction following and provides similar performance