GPT-5 vs GPT-4o mini Audio
Compare GPT-5 and GPT-4o mini Audio. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | GPT-5 | GPT-4o mini Audio |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | audio |
| Context Window | 400,000 tokens | 128,000 tokens |
| Input Cost | $1.25/ 1M tokens | $0.15/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $0.60/ 1M tokens |
Strengths & Best Use Cases
GPT-5
OpenAI1. High reasoning capability
- Designed for intelligent reasoning across complex domains.
- Supports reasoning tokens and adjustable reasoning effort.
2. Strong coding and agentic performance
- Optimized for multi-step coding tasks, tool-use chains, and agent workflows.
- Handles complex logic, planning, and structured problem solving reliably.
3. Multimodal input
- Accepts text + image as input.
- Produces text outputs with strong instruction following.
4. Extensive tool support
- Works with Web Search, File Search, Image Generation (as a tool), Code Interpreter, MCP, and more.
- Integrated across Chat Completions, Responses API, Realtime, Assistants, Batch, Embeddings, etc.
GPT-4o mini Audio
OpenAI1. Affordable multimodal audio model
- Extremely low-cost audio + text model for production-scale usage.
- Ideal for startups and high-volume traffic apps.
2. Fast real-time performance
- Low latency suitable for responsive voice assistants, AI phone bots, IVR flows, and audio chat apps.
- Great when speed matters more than deep reasoning.
3. Audio input and audio output
- Accepts raw audio (speech, recordings, commands).
- Generates natural audio responses via the REST API.
4. Large 128K context window
- Handles long conversations, transcriptions, and extended instructions.
- Supports multi-step voice workflows or multi-part inputs.
5. Great for lightweight reasoning workloads
- Performs well for classification, instructions, Q&A, rewriting, and audio-driven tasks.
- Good for voice agents that don't need high-end reasoning like GPT-5.1.
6. Works across major endpoints
- Chat Completions, Responses API, Realtime API, Assistants, Batch.
- Supports streaming and function calling.
7. Scalable for commercial production
- Perfect for customer support hotlines, appointment bots, FAQ voice agents, or embedded voice UI in apps.
- Reliable and predictable output behavior given its price.
8. Preview model designed for experimentation
- Lets teams prototype voice-first features with minimal cost.
- Useful stepping-stone before upgrading to GPT-4o Audio or GPT-5 audio models.
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
textDead Lead Re-Engagement Campaign (3 Emails)
Write a 3-email re-engagement sequence to revive cold buyer/seller leads using a check-in, a value add market update, and a break-up email.
Social Media Campaign (USP + Challenge Angles)
Design a social media campaign that engages your persona with informative and entertaining content tied to your USP and their challenges.
Contrarian Blog Series (Challenge Wisdom + Reframe)
Craft a blog series that challenges conventional wisdom and positions your USP as the innovative solution to persona challenges.
Best for GPT-4o mini Audio
audioLead Generation Strategy (USP-to-Offer Engine)
Build a lead generation strategy that turns your USP into compelling offers and acquisition channels tailored to persona challenges.
Customer Onboarding Program (Activation + Value)
Create a customer onboarding program that reinforces your USP and sets your persona up for success overcoming their challenges.
Formative Assessment Ideas Generator
Generate diverse formative assessment strategies that check for understanding throughout a lesson without formal testing.
Use Appaca to make AI tools powered by GPT-5 or GPT-4o mini Audio
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