openai logo
GPT-4 Turbo Preview
vs
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GPT-4

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

Key Differences
Context Length
Better
GPT-4 Turbo Preview: 128K (advantage)
GPT-4: 8K (disadvantage)
Cost Efficiency
Lower Cost
Prompt: $10.00M vs $30.00M
Completion: $30.00M vs $60.00M

Capabilities

GPT-4 Turbo Preview
Modality: text->text
Inputs: text
GPT-4
Modality: text->text
Inputs: text
O
GPT-4 Turbo Preview
openai/gpt-4-turbo-preview

The preview GPT-4 model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. Training data: up t...

Context Length128K
Prompt Price$10.00M
ReleasedJanuary 25, 2024
Supports:
text->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
Detailed Comparison
Feature
openai logo
GPT-4 Turbo Preview
openai logo
GPT-4
Context Length128K8K
Prompt Price$10.00M$30.00M
Completion Price$30.00M$60.00M
Modalitytext->texttext->text
Release DateJanuary 25, 2024May 28, 2023
Analysis & Recommendations

Quick Summary

This comparison reveals key trade-offs between GPT-4 Turbo Preview and GPT-4. GPT-4 Turbo Preview offers a larger context window of 128K compared to GPT-4's 8K, though GPT-4 comes at a higher cost.

GPT-4 Turbo Preview Strengths

  • Larger context window (128K) for processing longer documents
  • More cost-effective per token
  • Specialized for text tasks
  • Latest generation model

GPT-4 Strengths

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

When to Use Each Model

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