Llama 3.3 70B Instruct: Pricing, Context Window & Benchmarks
70Bby Meta
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks. Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. [Model Card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_3/MODEL_CARD.md)
What you can do with Llama 3.3 70B Instruct
Everyday Q&A and clear explanations
Writing help (emails, posts, summaries)
Idea generation and brainstorming
Learning support with step-by-step guidance
Composite Indices
Intelligence, Coding, Math
Standard Benchmarks
Academic and industry benchmarks
Benchmark Highlights
| Metric | Value |
|---|---|
| Provider | Meta |
| Context Window | 131,072 tokens |
| Input Price | $0.58/1M tokens |
| Output Price | $0.71/1M tokens |
| Release Date | Dec 6, 2024 |
| Modalities | text |
| Capabilities | N/A |
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Frequently asked questions
What is Llama 3.3 70B Instruct good for?
Use Llama 3.3 70B Instruct for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.
How much does Llama 3.3 70B Instruct cost?
Pricing is based on usage. Current rates are $0.58/1M tokens for input and $0.71/1M tokens for output.
Can I try Llama 3.3 70B Instruct for free?
Yes. You can start a chat instantly and test the model before deciding on a plan.
Does Llama 3.3 70B Instruct support images or audio?
Llama 3.3 70B Instruct focuses on text-based tasks.
Suggested comparisons
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Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.
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