GPT-5.2 vs GPT-4o Audio
Compare GPT-5.2 and GPT-4o Audio. Find out which model is better for your specific use case and requirements.
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 |
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}.
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.
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 Advisory Board (CAB) Program
Design a customer advisory board that gathers persona leader insights to refine marketing strategy, strengthen your USP, and address evolving challenges.
Product Launch Campaign (Messaging + Timeline)
Plan a product launch campaign that highlights your USP and shows how the new offering solves persona challenges.
Cold Email Generator
Generate personalized cold emails that get responses using proven frameworks and personalization techniques.
Best for GPT-4o Audio
audioFormative Assessment Ideas Generator
Generate diverse formative assessment strategies that check for understanding throughout a lesson without formal testing.
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.
Customer Data Insights (Segmentation + Messaging)
Analyze customer data patterns and convert insights into targeted messaging that emphasizes your USP and addresses persona challenges.
Use Appaca to make AI tools powered by GPT-5.2 or GPT-4o Audio
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