Build AI products powered by Grok 4 or LLaMA 3 8B - no coding required
Start buildingGrok 4 vs LLaMA 3 8B
Compare Grok 4 and LLaMA 3 8B. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | Grok 4 | LLaMA 3 8B |
|---|---|---|
| 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 8B |
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Power your AI product with Grok 4, LLaMA 3 8B, 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 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 Grok 4
textVideo Marketing Strategy (Storytelling + Proof)
Build a video marketing strategy that uses storytelling to show how your USP transforms persona challenges into outcomes.
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.
Website SEO Plan (Persona Problem Keywords)
Optimize your website SEO by targeting persona problem keywords and showcasing your USP through high-intent content.
Best for LLaMA 3 8B
textMarketing Attribution Model (Measure What Works)
Design an attribution model to measure how USP-focused campaigns influence persona engagement, conversion, and retention.
Marketing Budget & Resource Allocation Plan
Allocate marketing budget and resources across the highest-impact initiatives to communicate your USP and address persona challenges.
Customer Advisory Board (CAB) Program
Design a customer advisory board that gathers persona leader insights to refine marketing strategy, strengthen your USP, and address evolving challenges.
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Build AI products powered by Grok 4 or LLaMA 3 8B
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