GPT-4o Audio vs Claude 3 Haiku
Compare GPT-4o Audio and Claude 3 Haiku. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | GPT-4o Audio | Claude 3 Haiku |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | audio | text |
| Context Window | 128,000 tokens | 200,000 tokens |
| Input Cost | $2.50/ 1M tokens | $0.25/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $1.25/ 1M tokens |
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.
Claude 3 Haiku
Anthropic1. Speed
- Fastest model in the Claude 3 family
- Near-instant responses for chat, support, and live tools
2. Efficiency
- Most affordable model
- Ideal for massive-scale applications and low-latency use cases
3. Practical Use Cases
- Customer support
- Translations
- Moderation
- Logistics, inventory systems
- Extracting insights from unstructured data
4. Vision Skills
- Handles charts, images, and diagrams quickly
- Useful for scanning large volumes of visual data
Try These Prompts
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Best for GPT-4o Audio
audioUser-Generated Content Campaign (Social Proof at Scale)
Create a UGC campaign that encourages your persona to share wins and stories that prove your USP and relate to common challenges.
Experiential Marketing Campaign (Immersive Brand Story)
Design an experiential campaign that immerses your persona in your brand story and demonstrates how your USP turns challenges into opportunities.
Assessment Rubric Builder
Create detailed scoring rubrics for any assignment type with clear criteria and performance level descriptors.
Best for Claude 3 Haiku
textNeighborhood Guide Content Creator (Local Expert Blog)
Outline a high-value neighborhood guide blog post that positions you as the local expert with sections for food, parks/schools, vibe, and commute.
Marketing Attribution Model (Measure What Works)
Design an attribution model to measure how USP-focused campaigns influence persona engagement, conversion, and retention.
Customer Feedback Loop (Insights → Messaging)
Design a customer feedback loop to track evolving persona challenges and preferences, informing marketing strategy and USP refinement.
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