GPT-5.2 vs o4-mini

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.
• Allows up to 128 k output tokens for lengthy responses.

3. Large Context & Updated Knowledge

• 400 k token context window accommodates extensive codebases or documents.
• Knowledge cut-off of Aug 31 2025 keeps it current with recent developments.

1. Fast and efficient reasoning

• Provides strong reasoning capabilities with significantly lower latency and cost compared to larger o-series models.
• Ideal for lightweight reasoning tasks, logic steps, and quick multi-step thinking.

2. Optimized for coding tasks

• Performs exceptionally well in code generation, debugging, and explanation.
• Useful for IDE integrations, coding assistants, and developer tools with tight latency budgets.

3. Strong visual reasoning

• Accepts image inputs for tasks such as diagram interpretation, charts, UI analysis, and visual logic.
• Great for hybrid text-image reasoning flows.

4. Large 200K-token context window

• Capable of processing long documents, multi-file codebases, or extended analysis.
• Reduces need for chunking or external retrieval pipelines.

5. High 100K-token output limit

• Supports lengthy reasoning sequences, full codebase explanations, or multi-section documents.

6. Broad API compatibility

• Available in Chat Completions, Responses, Realtime, Assistants, Batch, Embeddings, and Image workflows.
• Supports streaming, function calling, structured outputs, and fine-tuning.

7. Cost-efficient for production

• Lower input/output pricing makes it suitable for large-scale deployments, SaaS products, and recurring tasks.

8. Succeeded by GPT-5 mini

• GPT-5 mini offers improved speed, reasoning power, and pricing, but o4-mini remains a strong option for cost-sensitive workloads.