Compare GPT-5 Nano and GPT-4o Audio. Find out which model is better for your specific use case and requirements.
| Feature | GPT-5 Nano | GPT-4o Audio |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | audio |
| Context Window | 400,000 tokens | 128,000 tokens |
| Input Cost | $0.05/ 1M tokens | $2.50/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $10.00/ 1M tokens |
1. Extremely fast performance
2. Most cost-efficient GPT-5 model
3. Ideal for lightweight, well-scoped tasks
4. Multimodal input
5. Broad tool support
1. True multimodal audio model
2. Natural real-time speech interaction
3. Large 128K context window
4. High-output capacity
5. Hybrid text + audio workloads
6. Compatible with the latest APIs
7. Strong performance for a preview model
8. Ideal for next-gen voice applications
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Calculate personalized emergency fund targets with this AI prompt, offering strategies to build a buffer without sacrificing essentials.
Design a lead scoring model that prioritizes prospects based on engagement with USP messaging and signals of persona challenge severity.
Create a referral marketing program that incentivizes your persona to share your USP with peers facing similar challenges.
Design a customer feedback loop to track evolving persona challenges and preferences, informing marketing strategy and USP refinement.
Create detailed scoring rubrics for any assignment type with clear criteria and performance level descriptors.
Plan a product launch campaign that highlights your USP and shows how the new offering solves persona challenges.
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