GPT-5.4 Thinking vs Claude Opus 4.6

Comprehensive comparison between OpenAI's GPT-5.4 Thinking and Anthropic's Claude Opus 4.6. Compare pricing, performance, features, and user reviews.

reasoning ai comparisongpt thinking vs claude

Specs Comparison

SpecificationGPT-5.4 ThinkingClaude Opus 4.6
Context Window1050K1000K
Max Output128K128K
Input (per 1M tokens)$2.50$5.00
Output (per 1M tokens)$15.00$25.00
Reasoning
Open Source

Scenario Score Comparison

Coding
92
vs
96
Writing
vs
91

GPT-5.4 Thinking

Pros

  • + Adjustable reasoning effort levels
  • + Strong on complex problem-solving
  • + Unified model (no separate Codex needed)
  • + Native computer use + reasoning combined

Cons

  • Higher latency at xhigh effort
  • Reasoning tokens count toward output cost
  • GPT-5.2 Thinking users must migrate by June 2026

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

Recommendation

Choose GPT-5.4 Thinking if you:

  • Need adjustable reasoning effort levels
  • Need strong on complex problem-solving
  • Need unified model (no separate codex needed)

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

Based on scores across 2 scenarios, Claude Opus 4.6 performs better overall.

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