GPT-5.2 vs GPT-5 Pro

Compare GPT-5.2 and GPT-5 Pro. Find out which model is better for your specific use case and requirements.

Model Comparison

FeatureGPT-5.2GPT-5 Pro
ProviderOpenAIOpenAI
Model Typetexttext
Context Window400,000 tokens400,000 tokens
Input Cost
$1.75/ 1M tokens
$15.00/ 1M tokens
Output Cost
$14.00/ 1M tokens
$120.00/ 1M tokens

Strengths & Best Use Cases

GPT-5.2

OpenAI

1. Advanced Reasoning for Diverse Domains

  • Built to tackle coding and agentic workflows across multiple industries, with configurable reasoning support.

2. Multi-Modal & Long-Form Capabilities

  • Handles both text and image inputs, producing text output:contentReference[oaicite:1]{index=1}.
  • Allows up to 128 k output tokens for lengthy responses:contentReference[oaicite:2]{index=2}.

3. Large Context & Updated Knowledge

  • 400 k token context window accommodates extensive codebases or documents:contentReference[oaicite:3]{index=3}.
  • Knowledge cut-off of Aug 31 2025 keeps it current with recent developments:contentReference[oaicite:4]{index=4}.

GPT-5 Pro

OpenAI

1. Highest reasoning quality in the GPT-5 family

  • Uses significantly more compute to "think harder" before responding.
  • Designed for the toughest reasoning tasks where answer quality matters more than speed.
  • Produces more precise, reliable, and detailed outputs than standard GPT-5.

2. Advanced multi-turn reasoning via Responses API

  • Available only in the Responses API to support:
    • Multi-turn internal model interactions before returning a reply.
    • Advanced control patterns (e.g., background mode for long-running jobs).
  • Ideal for complex workflows, deep planning, and multi-step analysis.

3. Configured for maximum effort by default

  • Always runs with reasoning.effort: 'high' (no lower-effort mode).
  • Prioritizes depth and correctness over latency and cost.

4. Multimodal input

  • Accepts text + image as input.
  • Outputs text, with strong instruction-following and analysis capabilities.

5. Tooling and ecosystem integration

  • Supports Web Search, File Search, and Image Generation (as tools).
  • Supports MCP and other Responses API tooling patterns.
  • Does not support Code Interpreter and does not support Computer Use, keeping focus on pure reasoning + tools.

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