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GPT-4
vs
Llama 3.1 405B Instruct

Compare performance metrics, pricing, and capabilities of these AI models.

Key Differences
Context Length
Lower
GPT-4: 8K (disadvantage)
Llama 3.1 405B Instruct: 131K (advantage)
Cost Efficiency
Higher Cost
Prompt: $30.00M vs $3.50M
Completion: $60.00M vs $3.50M

Capabilities

GPT-4
Modality: text->text
Inputs: text
Llama 3.1 405B Instruct
Modality: text->text
Inputs: text
O
GPT-4
openai/gpt-4

OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous mo...

Context Length8K
Prompt Price$30.00M
ReleasedMay 28, 2023
Supports:
text->text
M
Llama 3.1 405B Instruct
meta-llama/llama-3.1-405b-instruct

The highly anticipated 400B class of Llama3 is here! Clocking in at 128k context with impressive eval scores, the Meta AI team continues to push the f...

Context Length131K
Prompt Price$3.50M
ReleasedJuly 23, 2024
Supports:
text->text
Detailed Comparison
Feature
openai logo
GPT-4
Llama 3.1 405B Instruct
Context Length8K131K
Prompt Price$30.00M$3.50M
Completion Price$60.00M$3.50M
Modalitytext->texttext->text
Release DateMay 28, 2023July 23, 2024
Analysis & Recommendations

Quick Summary

This comparison reveals key trade-offs between GPT-4 and Llama 3.1 405B Instruct. Llama 3.1 405B Instruct offers a larger context window of 131K compared to GPT-4's 8K, though GPT-4 comes at a higher cost.

GPT-4 Strengths

  • Competitive context size (8K)
  • Premium pricing for high-quality output
  • Specialized for text tasks
  • Proven and stable model

Llama 3.1 405B Instruct Strengths

  • Larger context window (131K) for processing longer documents
  • More cost-effective per token
  • Specialized for text tasks
  • Latest generation model

When to Use Each Model

Choose GPT-4 when:
  • • You need competitive context capability for complex tasks
  • • Cost efficiency is not the primary concern in your use case
  • • Working with text-based tasks that benefit from deep analysis
Choose Llama 3.1 405B Instruct when:
  • • You need the larger context window for long-form content
  • • Cost efficiency is important for your budget
  • • Working with text-based tasks that require advanced processing
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