Build AI products powered by GPT-4o Audio or LLaMA 3 8B - no coding required
Start buildingGPT-4o Audio vs LLaMA 3 8B
Compare GPT-4o Audio and LLaMA 3 8B. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | GPT-4o Audio | LLaMA 3 8B |
|---|---|---|
| Provider | OpenAI | Meta |
| Model Type | audio | text |
| Context Window | 128,000 tokens | 8,192 tokens |
| Input Cost | $2.50/ 1M tokens | N/A |
| Output Cost | $10.00/ 1M tokens | N/A |
Build with it | Build with GPT-4o Audio | Build with LLaMA 3 8B |
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Power your AI product with GPT-4o Audio, LLaMA 3 8B, or any supported model. Switch anytime.
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Strengths & Best Use Cases
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.
LLaMA 3 8B
MetaLLaMA 3 8B is a highly efficient, small-scale open-source model perfect for simpler tasks and edge devices. It's great for applications like chatbots, text classification, and sentiment analysis where resource constraints are a concern. Its speed and small footprint make it easy to deploy.
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-4o Audio
audioAI Tutor - Concept Explainer
Create an AI tutor that explains complex concepts in simple terms, adapting to the students learning level and style.
Competitor Analysis (Differentiation Opportunities)
Analyze competitors and identify differentiation opportunities that strengthen your USP for your persona’s challenges.
Email Campaign (Buyer Journey Nurture)
Create an email nurture campaign that guides your persona through the buyer journey while highlighting your USP and solving key challenges.
Best for LLaMA 3 8B
textEducational Webinars (Deep-Dive Curriculum)
Create educational webinar topics and formats that teach persona-relevant skills and connect your USP to solving key challenges.
Interactive Quiz (Diagnose Challenges + Recommend Solutions)
Design a website quiz that helps your persona self-diagnose challenges and recommends next steps aligned to your USP.
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.
What AI product will you build?
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Free to start • No coding required • Launch to customers
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Customer-facing Interface
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Multimodel LLMs
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Founder & CEO, Edubuddy
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Build AI products powered by GPT-4o Audio or LLaMA 3 8B
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