GPT-5.2 vs GPT-4o Audio
Compare GPT-5.2 and GPT-4o Audio. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.2 | GPT-4o Audio |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | audio |
| Context Window | 400,000 tokens | 128,000 tokens |
| Input Cost | $1.75/ 1M tokens | $2.50/ 1M tokens |
| Output Cost | $14.00/ 1M tokens | $10.00/ 1M tokens |
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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.
- 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.
GPT-4o Audio
OpenAI1. True multimodal audio model
- Accepts raw audio as input and produces audio or text as output.
- Enables hands-free, voice-first app experiences.
2. Natural real-time speech interaction
- Low-latency audio generation suitable for conversational agents.
- Great for voice assistants, phone bots, and interactive voice UI.
3. Large 128K context window
- Supports long conversations, call transcripts, instructions, or multi-part interactions.
- Ideal for building persistent voice agents or phone workflows.
4. High-output capacity
- Up to 16,384 max output tokens for extended responses or long explanations.
- Suitable for complex reasoning tasks in voice format.
5. Hybrid text + audio workloads
- Combine audio input/output with text prompts, instructions, or structured control.
- Useful for customer support bots, spoken form systems, IVR replacements, etc.
6. Compatible with the latest APIs
- Works with Chat Completions, Responses API, Realtime API, and Assistants.
- Supports streaming, function calling, and advanced developer tooling.
7. Strong performance for a preview model
- High reasoning and expression abilities relative to most audio-capable models.
- Designed for production-style experimentation prior to full release.
8. Ideal for next-gen voice applications
- Build lifelike AI agents, interview bots, tutoring systems, and spoken knowledge tools.
- Perfect for startups building audio-first user experiences.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for GPT-5.2
textCreative Short Story Generator
Generate unique short stories with compelling plots, diverse characters, and immersive settings.
Forum Insider: Emotional Pain Points + Empathy Statements
Analyze forum threads and social comments to uncover urgent problems, voice-of-customer language, and empathy statements for marketing copy.
Entity-Based Content Enhancement (Semantic SEO)
Generate named entities and natural insertion points to improve semantic depth and topical coverage.
Best for GPT-4o Audio
audioContent Hub (Central Resource Library)
Create a website content hub that centralizes resources related to persona challenges and positions your USP as the solution.
Case Study (Story + Proof + Objections)
Craft a case study outline that proves your USP by showing how a customer like your persona overcame their challenges.
Data-Driven Infographics (Trends + Insights)
Create a plan for data-driven infographics that communicate trends and persona insights while reinforcing your USP’s impact on challenges.