Build AI products powered by o4-mini or LLaMA 3 70B - no coding required
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Compare o4-mini and LLaMA 3 70B. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | o4-mini | LLaMA 3 70B |
|---|---|---|
| Provider | OpenAI | Meta |
| Model Type | text | text |
| Context Window | 200,000 tokens | 8,192 tokens |
| Input Cost | $1.10/ 1M tokens | N/A |
| Output Cost | $4.40/ 1M tokens | N/A |
Build with it | Build with o4-mini | Build with LLaMA 3 70B |
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Power your AI product with o4-mini, LLaMA 3 70B, or any supported model. Switch anytime.
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Strengths & Best Use Cases
o4-mini
OpenAI1. Fast and efficient reasoning
- Provides strong reasoning capabilities with significantly lower latency and cost compared to larger o-series models.
- Ideal for lightweight reasoning tasks, logic steps, and quick multi-step thinking.
2. Optimized for coding tasks
- Performs exceptionally well in code generation, debugging, and explanation.
- Useful for IDE integrations, coding assistants, and developer tools with tight latency budgets.
3. Strong visual reasoning
- Accepts image inputs for tasks such as diagram interpretation, charts, UI analysis, and visual logic.
- Great for hybrid text-image reasoning flows.
4. Large 200K-token context window
- Capable of processing long documents, multi-file codebases, or extended analysis.
- Reduces need for chunking or external retrieval pipelines.
5. High 100K-token output limit
- Supports lengthy reasoning sequences, full codebase explanations, or multi-section documents.
6. Broad API compatibility
- Available in Chat Completions, Responses, Realtime, Assistants, Batch, Embeddings, and Image workflows.
- Supports streaming, function calling, structured outputs, and fine-tuning.
7. Cost-efficient for production
- Lower input/output pricing makes it suitable for large-scale deployments, SaaS products, and recurring tasks.
8. Succeeded by GPT-5 mini
- GPT-5 mini offers improved speed, reasoning power, and pricing, but o4-mini remains a strong option for cost-sensitive workloads.
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 o4-mini
textOpen House Feedback Automator (Agent Follow-Up)
Generate a short, professional follow-up text/email to visiting agents to collect quick feedback on price, condition, and client interest.
Craft Catchy Sales Emails
Write high-converting sales emails with strong hooks, clear value, and a single focused CTA-optimized for your audience and offer.
Marketing Attribution Model (Measure What Works)
Design an attribution model to measure how USP-focused campaigns influence persona engagement, conversion, and retention.
Best for LLaMA 3 70B
textLand Negotiation Strategy (Max Profit Margin)
Create a step-by-step negotiation plan for land deals using MAO, comps, and risk-based justifications for price reductions.
Customer Advocacy Program (Activate Champions)
Create a customer advocacy program that turns satisfied customers into credible proof of your USP and a source of persona-aligned leads.
User-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.
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Multimodel LLMs
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Cheyanne Carter
Founder & CEO, Edubuddy
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Build AI products powered by o4-mini or LLaMA 3 70B
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