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Compare o4-mini and LLaMA 3 8B. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | o4-mini | LLaMA 3 8B |
|---|---|---|
| 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 8B |
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Power your AI product with o4-mini, LLaMA 3 8B, 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 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 o4-mini
textFormative Assessment Ideas Generator
Generate diverse formative assessment strategies that check for understanding throughout a lesson without formal testing.
Video Tutorials (Implementation Walkthroughs)
Create video tutorials that teach your persona how to implement your USP solution against specific challenges with clear, actionable guidance.
Customer Onboarding Program (Activation + Value)
Create a customer onboarding program that reinforces your USP and sets your persona up for success overcoming their challenges.
Best for LLaMA 3 8B
textLoyalty Program Perk Prioritizer (Business Travel)
Rank elite benefits by money/time value for a specific business trip goal and traveler needs.
LinkedIn Post Generator
Create professional LinkedIn posts that establish thought leadership, drive engagement, and grow your network.
Influencer Campaign (Partner + Brief + Measurement)
Design an influencer marketing campaign that reaches your persona via credible partners while reinforcing your USP and 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
Create, manage, and deploy custom AI models for text, image, and audio - trained on your own knowledge base.
Agentic workflows and integrations
Create a workflow for your AI agents and tools to perform tasks and integrations with third-party services.
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“I've built with various AI tools and have found Appaca to be the most efficient and user-friendly solution.”
Cheyanne Carter
Founder & CEO, Edubuddy
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Build AI products powered by o4-mini or LLaMA 3 8B
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