Llama-3.3-70B-Instruct

Llama 3.3 70B Instruct is an instruction-tuned large language model published by Meta and released on December 6, 2024 as part of the Llama 3.3 family. Meta distributes the model artifacts, including trained weights and accompanying documentation, through its official channels, with the documentation hosted at llama.com/docs/overview. The release is governed by the Llama 3.3 Community License Agreement, an open-weight license under which the foundational model code, trained weights, and supporting tooling are made available for use, reproduction, distribution, and modification, subject to the license terms.

As an open-weight instruction-tuned model in the Llama line, Llama 3.3 70B Instruct is positioned for developers and organizations that want to run a capable chat-oriented model on their own infrastructure rather than depend solely on closed APIs. Its place in the Llama 3.3 family signals an evolution focused on practical assistant behavior at the 70-billion-parameter scale, with Meta continuing to publish documentation and licensing terms that allow fine-tuning, redistribution, and integration into downstream applications. This makes it a fit for teams that value self-hosting, customization, and transparent licensing terms alongside strong general-purpose instruction following.

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Quick Info

Provider: SambaNova
Model key: Meta-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

Input token cost: $0.60
Output token cost: $1.20

Limits

Output tokens: 3,072 tokens
Context window: 131,072 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Llama-3.3-70B-Instruct

Neon

Coverage

The NVIDIA NGC catalog entry confirms Llama 3.3 70B Instruct as Meta's pretrained and instruction-tuned 70B text-in/text-out multilingual model, with Model Developer listed as Meta and a release date of December 6, 2024. The page notes that inference on NVIDIA GPUs is accelerated by TensorRT-LLM and that the model is approved for commercial use under the Llama 3.3 Community License Agreement with Built with Llama terms. Status is described as a static model trained on an offline dataset. Architecturally, NVIDIA's catalog summarizes Llama 3.3 70B as an auto-regressive transformer that uses supervised fine-tuning and reinforcement learning with human feedback to align with human preferences for helpfulness and safety. All model versions employ Grouped-Query Attention for improved inference scalability. The entry disclaims NVIDIA authorship, attributing development to Meta and pointing to the upstream model card for full details on the underlying weights and training.

Neon

CoverageBenchmark

Llama 3.3 70B Instruct is Meta's instruction-tuned, text-only multilingual large language model released on December 6, 2024. According to the InferenceX technical overview citing the Hugging Face model card, it is an auto-regressive optimized transformer with 70B parameters (the Hugging Face checkpoint lists 71B), a 128k context window, and pretraining on more than 15 trillion tokens with a December 2023 knowledge cutoff. The model officially supports English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai, and uses Grouped-Query Attention for inference scalability. Meta positions Llama 3.3 70B as delivering performance similar to the much larger Llama 3.1 405B at a fraction of the serving cost. InferenceX, drawing on Meta's instruction-tuned comparison table, reports Llama 3.3 70B matches Llama 3.1 70B on MMLU at 86.0, scores IFEval 92.1 versus 88.6 for the 405B, and reaches MATH 77.0 versus 73.8. The model is distributed under the Llama 3.3 Community License Agreement, which requires Built with Llama attribution and a separate license for licensees exceeding 700 million monthly active users.