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LLM ComparisonGPT-5.3 CodexClaude 4 Sonnet

GPT-5.3 Codex vs Claude 4 Sonnet

Compare GPT-5.3 Codex and Claude 4 Sonnet. Build AI products powered by either model on Appaca.

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Model Comparison

FeatureGPT-5.3 CodexClaude 4 Sonnet
ProviderOpenAIAnthropic
Model Typetexttext
Context Window400,000 tokens1,000,000 tokens
Input Cost
$1.75/ 1M tokens
$3.00/ 1M tokens
Output Cost
$14.00/ 1M tokens
$15.00/ 1M tokens

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Strengths & Best Use Cases

GPT-5.3 Codex

OpenAI

1. Strongest Codex Model for Agentic Engineering

  • OpenAI positions GPT-5.3 Codex as its most capable agentic coding model to date.
  • Built for long-horizon software engineering tasks that require planning, iteration, and reliable code transformation across files.

2. Configurable Reasoning + Multimodal Input

  • Supports configurable reasoning effort from low to xhigh so teams can trade off depth against latency.
  • Accepts both text and image inputs while producing text output.

3. Large Context for Real Codebases

  • 400 k token context window helps it work across larger repositories, implementation plans, and supporting documentation.
  • Allows up to 128 k output tokens for longer code generations, patches, and technical write-ups.

4. Current Knowledge for Modern Dev Workflows

  • Knowledge cut-off of Aug 31 2025 keeps it aligned with newer frameworks, libraries, and tooling.
  • Supports streaming, function calling, and structured outputs for agent-style coding workflows.

Claude 4 Sonnet

Anthropic
  • Hybrid reasoning: supports both fast (“near-instant”) and extended thinking modes.
  • Optimised for responsiveness, cost and high-volume production workloads.
  • Strong coding performance relative to prior Sonnet versions (improved over Sonnet 3.7).
  • Available even in free tiers (alongside paid plans).
  • Better suited for general-purpose use and agents where speed + cost-efficiency matter.

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