Claude Opus 4.6 vs GPT-5.3-Codex

Comprehensive comparison between Anthropic's Claude Opus 4.6 and OpenAI's GPT-5.3-Codex. Compare pricing, performance, features, and user reviews.

best ai for codingclaude vs codex

Specs Comparison

SpecificationClaude Opus 4.6GPT-5.3-Codex
Context Window1000K256K
Max Output128K64K
Input (per 1M tokens)$5.00$1.75
Output (per 1M tokens)$25.00$14.00
Reasoning
Open Source

Scenario Score Comparison

Coding
96
vs
93
Writing
91
vs
Translation
vs
65
Data Analysis
vs
78
Conversation
vs
60
Image Gen
vs
50

Claude Opus 4.6

Pros

  • + Highest SWE-bench score (80.8%)
  • + 128K max output (doubled from 4.5)
  • + Adaptive thinking with effort levels
  • + Agent Teams for parallel coding
  • + Best instruction following in complex contexts

Cons

  • 2x price of GPT-5.4
  • Response prefilling removed (breaking change)
  • 1M context in beta only
  • Extended thinking deprecated

GPT-5.3-Codex

Pros

  • + Coding-optimized
  • + Great value
  • + Generous quotas
  • + SWE-bench leader

Cons

  • Text-only
  • Weak at creative tasks
  • Requires Codex-specific API

Recommendation

Choose Claude Opus 4.6 if you:

  • Need highest swe-bench score (80.8%)
  • Need 128k max output (doubled from 4.5)
  • Need adaptive thinking with effort levels

Choose GPT-5.3-Codex if you:

  • Need coding-optimized
  • Need great value
  • Need generous quotas

Based on scores across 6 scenarios, GPT-5.3-Codex performs better overall.

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