Llama 3.3 70B Instruct

by Meta

Llama 3.3 70B Instruct is a model from Meta, released on December 6, 2024. It has a 131K-token context window and can generate up to 131K output tokens. API pricing is $0.1 per 1M input tokens and $0.32 per 1M output tokens. It ranks #148 of 220 models by Intelligence Score with a score of 13.8.

Llama 3.3 is a multilingual large language model optimized for dialogue use cases across multiple languages. It is a pretrained and instruction-tuned generative model with 70 billion parameters, outperforming many open-source and closed chat models on common industry benchmarks. Llama 3.3 supports a context length of 128,000 tokens and is designed for commercial and research use in multiple languages.

Key specs

ProviderMeta
Release date2024-12-06
Licenseopen weights
Context window131K tokens
Max output131K tokens
Input price$0.1 / 1M tokens
Output price$0.32 / 1M tokens
Intelligence Score13.8
Coding index9.2

Quick answers

What is the context window of Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct has a context window of 131K tokens, with a maximum output of 131K tokens per response.

How much does Llama 3.3 70B Instruct cost?

Llama 3.3 70B Instruct costs $0.1 per 1M input tokens and $0.32 per 1M output tokens through the API.

Is Llama 3.3 70B Instruct open source?

Yes. Llama 3.3 70B Instruct is an open model released under the open weights license.

When was Llama 3.3 70B Instruct released?

Meta released Llama 3.3 70B Instruct on December 6, 2024.

How does Llama 3.3 70B Instruct compare to Claude Opus 5.5 (Reasoning)?

Llama 3.3 70B Instruct scores 13.8 on the Intelligence Score versus 60.5 for Claude Opus 5.5 (Reasoning), the current #1. Input pricing is $0.1 vs $4 per 1M tokens.

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