LLM ComparisonGPT-5.4GPT-5.2 Codex

GPT-5.4 vs GPT-5.2 Codex

Compare GPT-5.4 and GPT-5.2 Codex. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.4GPT-5.2 Codex
ProviderOpenAIOpenAI
Model Typetexttext
Context Window1,050,000 tokens400,000 tokens
Input Cost
$2.50/ 1M tokens
$1.75/ 1M tokens
Output Cost
$15.00/ 1M tokens
$14.00/ 1M tokens

Now in early access

You don't need SaaS anymore! Get a software exactly how you want it.

Appaca is the platform for personal software. Just describe what you need and get a ready-to-use app in minutes. Learn more

Strengths & Best Use Cases

GPT-5.4

OpenAI

1. Best Intelligence at Scale

  • OpenAI positions GPT-5.4 as its frontier model for agentic, coding, and professional workflows.
  • Built for complex professional work where stronger reasoning and higher answer quality matter.

2. Configurable Reasoning + Multimodal Input

  • Supports configurable reasoning effort from none to xhigh, letting teams balance speed and depth.
  • Accepts both text and image inputs while producing text output.

3. Massive Context for Long-Running Work

  • 1.05M token context window supports very large codebases, documents, and multi-step workflows.
  • Allows up to 128 k output tokens for long-form answers and larger generations.

4. Updated Knowledge & Broad Tool Support

  • Knowledge cut-off of Aug 31 2025 keeps it current for newer frameworks and business context.
  • Supports tools like web search, file search, code interpreter, hosted shell, computer use, and MCP in the Responses API.

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.

The platform for your ideal software

Use Appaca to to do the most with any software you need, just for your use case.