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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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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
textEmail Newsletter Strategy (Curation + Thought Leadership)
Create a newsletter strategy that curates relevant insights for persona challenges while reinforcing your USP and credibility.
Forum Insider: Emotional Pain Points + Empathy Statements
Analyze forum threads and social comments to uncover urgent problems, voice-of-customer language, and empathy statements for marketing copy.
Financial Statement Analysis
Analyze financial statements to understand company health, trends, and investment potential.
Best for LLaMA 3 70B
textCustomer 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.
Weekly Meal Planner
Create a customized weekly meal plan based on your dietary preferences, goals, and cooking time.
Review Miner: Extract Recurring Pain Points
Analyze competitor reviews/testimonials to uncover recurring customer frustrations and turn them into content topics.
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Multimodel LLMs
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Cheyanne Carter
Founder & CEO, Edubuddy
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