AI Tools Review

Meta: Llama 3.3 70B Instruct

By Meta Llama

Released: 2024-12-06

API
LLM
RAG
Meta Llama
Paid
New

Meta Llama Llama 3 3 70B Instruct, developed by Meta, features 70B parameters and 131k-token context window. 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 optimised 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) Available at $0.1/1M tokens.

Visit Meta: Llama 3.3 70B Instruct

AI-Powered

Leverages advanced AI technology to deliver cutting-edge capabilities and results.

Fast & Efficient

Optimized performance ensures quick results without compromising on quality.

Purpose-Built

Specifically designed for llms tasks and workflows.

Meta Llama Model Timeline

Meta: Llama Guard 4 12B

164k tokens context

Meta: Llama 4 Maverick

1,049k tokens context

Meta: Llama 4 Scout

328k tokens context

Llama Guard 3 8B

131k tokens context

Meta: Llama 3.3 70B Instruct (free)

131k tokens context

Meta: Llama 3.3 70B InstructCurrent

131k tokens context

Meta: Llama 3.2 3B Instruct (free)

131k tokens context

Meta: Llama 3.2 3B Instruct

131k tokens context

Meta: Llama 3.2 1B Instruct

60k tokens context

Meta: Llama 3.2 11B Vision Instruct

131k tokens context

Meta: Llama 3.1 405B (base)

33k tokens context

Meta: Llama 3.1 8B Instruct

16k tokens context

Meta: Llama 3.1 405B Instruct (free)

131k tokens context

Meta: Llama 3.1 405B Instruct

10k tokens context

Meta: Llama 3.1 70B Instruct

131k tokens context

Meta: LlamaGuard 2 8B

8k tokens context

Meta: Llama 3 70B Instruct

8k tokens context

Meta: Llama 3 8B Instruct

8k tokens context

Specifications

pricing$0.10 / $0.32 (per 1M)
context Window131k tokens

AI Evaluation

4.8
Expert Rating
Text4.9/5
Coding3.5/5

Features a substantial 131k-token context capacity, balancing extensive document handling with efficient processing.

Pros

  • Competitive pricing ($0.1/1M)
  • 131k token context window
  • Large-scale 70B architecture
  • Precise instruction following

Cons

  • API integration required
  • May need prompt tuning