Build AI products powered by Grok 4 or LLaMA 3 70B - no coding required
Start buildingGrok 4 vs LLaMA 3 70B
Compare Grok 4 and LLaMA 3 70B. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | Grok 4 | LLaMA 3 70B |
|---|---|---|
| Provider | xAI | Meta |
| Model Type | text | text |
| Context Window | 256,000 tokens | 8,192 tokens |
| Input Cost | $3.00/ 1M tokens | N/A |
| Output Cost | $15.00/ 1M tokens | N/A |
Build with it | Build with Grok 4 | Build with LLaMA 3 70B |
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Power your AI product with Grok 4, LLaMA 3 70B, or any supported model. Switch anytime.
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Strengths & Best Use Cases
Grok 4
xAI1. Flagship-level reasoning and math performance
- Designed for world-class reasoning depth, precision, and multi-step logical chains.
- Excels at STEM, mathematics, symbolic operations, proofs, and analytical workloads.
2. Powerful multimodal understanding
- Supports text, images, and other modalities.
- Handles cross-modal reasoning tasks requiring context synthesis.
3. Extreme capability across diverse tasks
- Positioned as a top-tier 'jack of all trades' model.
- Strong in natural language, coding, knowledge retrieval, and structured generation.
4. Large 256K context window
- Enables analysis of long documents, entire codebases, multi-document packs, and extensive agent sessions.
- Supports workloads that require persistent reasoning across large inputs.
5. Advanced developer tooling support
- Function calling for tool-augmented workflows.
- Structured outputs for predictable, schema-controlled generation.
- Integrates smoothly with agents and complex automation pipelines.
6. Efficient caching for cost reduction
- Cached input tokens discounted to $0.75 / 1M tokens.
- Encourages RAG, retrieval pipelines, and multi-step conversational workflows.
7. Production-ready performance
- Stable rate limits: 480 requests per minute.
- High token throughput: 2,000,000 tokens per minute.
- Available across multiple xAI regional clusters.
8. Optional Live Search augmentation
- Add-on: $25 per 1K sources.
- Enhances factual accuracy and real-time information retrieval.
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 Grok 4
textMarketing Experimentation Framework (Test + Learn)
Create a marketing experimentation framework to test and optimize persona-targeted messaging and offers that highlight your USP and address challenges.
Content Marketing Strategy (Thought Leadership)
Create a persona-first content strategy that positions your brand as a thought leader and connects your USP to the challenges you solve.
Digital Marketing Plan (Channel + Funnel Blueprint)
Build a comprehensive digital marketing plan that targets a persona, addresses their challenges, and highlights your USP across channels and the funnel.
Best for LLaMA 3 70B
textEmail Newsletter Strategy (Curation + Thought Leadership)
Create a newsletter strategy that curates relevant insights for persona challenges while reinforcing your USP and credibility.
Competitor Gap Finder: Unserved Audience Pain Points
Identify pain points your competitors likely ignore and explain why addressing them builds trust and differentiation.
Cold 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.
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Build AI products powered by Grok 4 or LLaMA 3 70B
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