GPT-5.2 vs o3
Compare GPT-5.2 and o3. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | GPT-5.2 | o3 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 200,000 tokens |
| Input Cost | $1.75/ 1M tokens | $2.00/ 1M tokens |
| Output Cost | $14.00/ 1M tokens | $8.00/ 1M tokens |
Strengths & Best Use Cases
GPT-5.2
OpenAI1. 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}.
o3
OpenAI1. Advanced reasoning capability
- Designed for multi-step thinking across text, code, and visual inputs.
- Excels at math, science, logic puzzles, and complex analytical workflows.
2. Strong performance across domains
- Highly capable in technical writing, data analysis, and structured problem-solving.
- Useful for research, engineering tasks, and intricate instruction-following.
3. Visual reasoning support
- Accepts image inputs, enabling tasks such as diagram analysis, chart interpretation, and visual logic assessments.
4. High output capacity
- Up to 100,000 output tokens, supporting long-form content, technical breakdowns, and multi-part solutions.
5. Excellent instruction following
- Produces detailed, step-by-step responses for tasks requiring precision and clarity.
- Ideal for educational explanations, system design reasoning, and code walkthroughs.
6. Large 200K context window
- Handles long documents, multi-file reasoning, or extended conversations with minimal loss of context.
7. Broad API support
- Works with Chat Completions, Responses, Realtime, Assistants, Batch, Embeddings, Image Generation, and more.
- Supports streaming and function calling for advanced workflows.
8. Positioned as a legacy reasoning model
- Remains extremely capable but formally succeeded by GPT-5, which offers stronger reasoning and performance.
Try These Prompts
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Best for GPT-5.2
textCustomer Retention Strategy (Loyalty + Expansion)
Develop a retention strategy that reinforces your USP, improves customer outcomes, and responds to evolving persona challenges.
Sales Objection Flipper: Reveal Hidden Pain Points
Convert common sales objections into underlying fears and create educational content ideas that overcome them before the sales call.
Content Marketing Strategy (Thought Leadership)
Create a persona-first content strategy that positions your brand as a thought leader and connects your USP to the challenges you solve.
Best for o3
textAI Tutor - Concept Explainer
Create an AI tutor that explains complex concepts in simple terms, adapting to the students learning level and style.
Land Negotiation Strategy (Max Profit Margin)
Create a step-by-step negotiation plan for land deals using MAO, comps, and risk-based justifications for price reductions.
Uncover Precedents (Case Map + Misinterpretation Risks)
Create a precedent map for an area of law with key cases, rules/tests, and the risks of misreading precedent.
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