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LLM ComparisonGPT-5.2 CodexDeepSeek R1

GPT-5.2 Codex vs DeepSeek R1

Compare GPT-5.2 Codex and DeepSeek R1. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.2 CodexDeepSeek R1
ProviderOpenAIDeepSeek
Model Typetexttext
Context Window400,000 tokensN/A
Input Cost
$1.75/ 1M tokens
N/A
Output Cost
$14.00/ 1M tokens
N/A

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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.

DeepSeek R1

DeepSeek

1. Real-time reasoning and decision-making

  • Built for scenarios that require instant output.
  • Great for applications with fast-changing data.

2. Excellent for dynamic optimization

  • Pricing adjustments, recommendations, routing, and system tuning.

3. Strong performance in finance and e-commerce

  • Tracks market shifts.
  • Updates predictions on the fly.
  • Optimizes recommendations in real time.

4. High-speed pattern recognition

  • Quickly interprets signals from streaming data.
  • Useful in trading bots, alerts, and monitoring systems.