LLM ComparisonGPT-5.2 CodexClaude 3 Sonnet

GPT-5.2 Codex vs Claude 3 Sonnet

Compare GPT-5.2 Codex and Claude 3 Sonnet. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.2 CodexClaude 3 Sonnet
ProviderOpenAIAnthropic
Model Typetexttext
Context Window400,000 tokens200,000 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-5.2 Codex

OpenAI

1. Optimized for Long-Horizon Coding Tasks

  • OpenAI describes GPT-5.2 Codex as a highly intelligent coding model built for long-horizon, agentic coding work.
  • Well suited to planning, refactoring, debugging, and multi-step implementation flows inside real codebases.

2. Adjustable Reasoning for Coding Work

  • Supports configurable reasoning effort from low to xhigh depending on speed and quality needs.
  • Accepts both text and image inputs while producing text output.

3. Large Context + Long Output

  • 400 k token context window supports broad repository understanding and larger working sets.
  • Allows up to 128 k output tokens for longer patches, code generation, and technical explanations.

4. Up-to-Date Model Snapshot

  • Knowledge cut-off of Aug 31 2025 keeps it current with newer tools and frameworks.
  • Supports streaming, function calling, and structured outputs for tool-driven coding workflows.

Claude 3 Sonnet

Anthropic

1. Speed + Intelligence Blend

  • 2x faster than Claude 2/2.1
  • Strong reasoning with lower cost

2. Enterprise-Ready

  • Designed for high-volume, large-scale deployments
  • Excellent stability for production workloads

3. Versatile Task Performance

  • Great for RAG, search, document understanding
  • High-quality code generation
  • Effective at sales automation and knowledge retrieval

4. Vision Capabilities

  • Reads charts, graphs, images reliably
  • Extracts text from visuals efficiently

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