GPT-5.2 Codex vs Claude 3 Haiku

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.

1. Speed

• Fastest model in the Claude 3 family
• Near-instant responses for chat, support, and live tools

2. Efficiency

• Most affordable model
• Ideal for massive-scale applications and low-latency use cases

3. Practical Use Cases

• Customer support
• Translations
• Moderation
• Logistics, inventory systems
• Extracting insights from unstructured data

4. Vision Skills

• Handles charts, images, and diagrams quickly
• Useful for scanning large volumes of visual data