anthropic logo
Claude Opus 4
vs
openai logo
GPT-4

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

Key Differences
Context Length
Better
Claude Opus 4: 200K (advantage)
GPT-4: 8K (disadvantage)
Cost Efficiency
Lower Cost
Prompt: $15.00M vs $30.00M
Completion: $75.00M vs $60.00M

Capabilities

Claude Opus 4
Modality: text+image->text
Inputs: image, text, file
GPT-4
Modality: text->text
Inputs: text
A
Claude Opus 4
anthropic/claude-opus-4

Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and a...

Context Length200K
Prompt Price$15.00M
ReleasedMay 22, 2025
Supports:
text+image->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
anthropic logo
Claude Opus 4
openai logo
GPT-4
Context Length200K8K
Prompt Price$15.00M$30.00M
Completion Price$75.00M$60.00M
Modalitytext+image->texttext->text
Release DateMay 22, 2025May 28, 2023
Analysis & Recommendations

Quick Summary

This comparison reveals key trade-offs between Claude Opus 4 and GPT-4. Claude Opus 4 offers a larger context window of 200K compared to GPT-4's 8K, though GPT-4 comes at a higher cost.

Claude Opus 4 Strengths

  • Larger context window (200K) for processing longer documents
  • More cost-effective per token
  • Multimodal capabilities for image analysis
  • 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 Claude Opus 4 when:
  • • You need the larger context window for complex tasks
  • • Cost efficiency is important in your use case
  • • Working with images and text that benefit from thoughtful reasoning
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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