Grok 4 vs LLaMA 3 8B
Compare pricing, context windows, and strengths for Grok 4 by xAI and LLaMA 3 8B by Meta - and see how to put either to work in Appaca.
Grok 4
A flagship multimodal model excelling in natural language, math, and deep reasoning with unmatched all-around performance.
View Grok 4Grok 4 vs LLaMA 3 8B at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | Grok 4 | LLaMA 3 8B |
|---|---|---|
| Provider | xAI | Meta |
| Model type | Text | Text |
| Context window | 256K tokens | 8.2K tokens |
| Input price | $3 / 1M tokens | - |
| Output price | $15 / 1M tokens | - |
| Status | Current | Current |
How Grok 4 and LLaMA 3 8B differ
What the numbers mean in practice when choosing between Grok 4 and LLaMA 3 8B.
-
Grok 4's 256K tokens context window is roughly 31.3x larger than LLaMA 3 8B's 8.2K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
Grok 4
1. 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
LLaMA 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.
Use Grok 4 or LLaMA 3 8B - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Grok 4 or LLaMA 3 8B - connected to your real data and ready for your whole team. No code, no deployment.
Describe it, and it's built
Tell the Appaca agent the internal tool you need and it builds a working app powered by Grok 4 or LLaMA 3 8B. No code, no API keys, no deployment.
Switch models without rebuilding
Start on Grok 4, test the same tool on LLaMA 3 8B, and keep whichever performs better - the rest of your app stays exactly as it is.
Automated for the whole team
Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.
Describe it, and it's built
Tell the Appaca agent what your team needs and it builds a working app powered by Grok 4 or LLaMA 3 8B - connected to the tools you already use.
Related comparisons
See how Grok 4 and LLaMA 3 8B stack up against other models in the directory.
FAQs
Pricing models differ: see the full Grok 4 and LLaMA 3 8B pages in the Appaca AI models directory for current pricing details.
Grok 4 has the larger context window at 256K tokens, compared to 8.2K tokens for LLaMA 3 8B. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.
It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on Grok 4, test the same tool on LLaMA 3 8B, and switch at any time without rebuilding anything.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by Grok 4, LLaMA 3 8B, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.
Build AI tools with Grok 4 or LLaMA 3 8B
Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.