Context Window
MetaLlama 3.3deepTool use

Llama 3.3 70B Instruct (free)

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/ma

66K context·~49K words·
View context detailsCompare with Codellama 34b Instruct
Context window66Ktokens

Context window

This model accepts 66K tokens in one request (~49K words of text).

Context window size66K tokens
4K32K128K1M10M

What fits in one request

  • Short document
    About 1,500 words of text
    Fits
  • Long document
    About 37K words of text
    Fits
  • Small codebase
    About 150K words of text
    Won't fit
  • Full novel
    About 375K words of text
    Won't fit

Specifications

Context size, pricing, and release info in one place.

Context window
65,536 tokens (66K)
Speed tier
deep
Provider
Meta
Model family
Llama 3.3
Release date
Dec 2024

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (3)
Tool use
Supported
Function calling
Supported
Streaming
Supported
Not supported (5)
Vision
Not supported
Extended thinking
Not supported
Web search
Not supported
Batch API
Not supported
Prompt caching
Not supported

Best for

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Frequently asked questions

Short answers about context size and how this model behaves.

Llama 3.3 70B Instruct (free) has a context window of 65K tokens (65,536 tokens). This is sufficient for most chat, summarization, and moderate document tasks.

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