Build AI products powered by GPT-4o Audio or LLaMA 3 70B - no coding required
Start buildingGPT-4o Audio vs LLaMA 3 70B
Compare GPT-4o Audio and LLaMA 3 70B. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | GPT-4o Audio | LLaMA 3 70B |
|---|---|---|
| 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 70B |
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Power your AI product with GPT-4o Audio, LLaMA 3 70B, 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 70B
MetaLLaMA 3 70B is a powerful, large-scale open-source model that excels at a wide range of tasks, including nuanced content creation, code generation, and complex reasoning. Its open nature allows for fine-tuning and customization, making it a top choice for developers looking to build specialized applications.
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
audioContrarian Blog Series (Challenge Wisdom + Reframe)
Craft a blog series that challenges conventional wisdom and positions your USP as the innovative solution to persona challenges.
Content Repurposing System (1 → Many Channels)
Build a content repurposing system that extends your best messaging across channels while keeping the USP and persona challenges consistent.
Brand Messaging Guide (Persona + USP)
Create a brand messaging guide with positioning, value props, proof points, and voice tailored to your persona’s challenges and your USP.
Best for LLaMA 3 70B
textCold Call Objection Handler (3 Script Styles)
Generate three distinct objection-handling scripts for real estate cold calls: empathetic, data-driven, and direct-plus follow-up questions and next steps.
Educational Webinars (Deep-Dive Curriculum)
Create educational webinar topics and formats that teach persona-relevant skills and connect your USP to solving key challenges.
Meeting Notes Summarizer
Transform raw meeting transcripts or messy notes into clear, structured summaries with action items.
What AI product will you build?
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Cheyanne Carter
Founder & CEO, Edubuddy
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Build AI products powered by GPT-4o Audio or LLaMA 3 70B
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