Grok 3 vs LLaMA 3 70B
Compare pricing, context windows, and strengths for Grok 3 by xAI and LLaMA 3 70B by Meta - and see how to put either to work in Appaca.
Grok 3
A high-performance enterprise model for coding, extraction, reasoning, and domain-expert tasks across finance, healthcare, law, and science.
View Grok 3Grok 3 vs LLaMA 3 70B at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | Grok 3 | LLaMA 3 70B |
|---|---|---|
| Provider | xAI | Meta |
| Model type | Text | Text |
| Context window | 131.1K tokens | 8.2K tokens |
| Input price | $3 / 1M tokens | - |
| Output price | $15 / 1M tokens | - |
| Status | Current | Current |
How Grok 3 and LLaMA 3 70B differ
What the numbers mean in practice when choosing between Grok 3 and LLaMA 3 70B.
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Grok 3's 131.1K tokens context window is roughly 16x larger than LLaMA 3 70B'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 3
1. Strong enterprise-grade reasoning
- Built for deep logical reasoning, structured decision-making, and multi-step analysis.
- Performs exceptionally in domains requiring precision: law, finance, healthcare, and STEM.
2. Excellent at data extraction and summarization
- Optimized for structured extraction from documents, PDFs, tables, and complex text.
- Ideal for enterprise workflows like reporting, compliance automation, or knowledge mining.
3. High-performance coding capabilities
- Excels at code generation, debugging, refactoring, and explaining code.
- Competitive with top-tier coding models for multi-file, long-context code reasoning.
4. Supports function calling and structured outputs
- Integrates cleanly with agent frameworks and external tools.
- Predictable, schema-aligned responses suitable for production systems.
5. Large 131K context window
- Handles long documents, transcripts, contracts, codebases, or multi-document tasks.
- Useful for ingesting highly technical materials in one pass.
6. Efficient cost structure with cached token pricing
- Cached inputs: only $0.75 / 1M tokens, enabling large-scale systems.
- Encourages reuse for powerful retrieval-augmented workflows.
7. Enterprise reliability and availability
- Supported across multiple regions (us-east-1, eu-west-1).
- Consistent rate limits: 600 requests/min.
- Suitable for production-grade apps with stability requirements.
8. Supports advanced search capabilities
- Optional Live Search add-on for real-time knowledge retrieval.
- Pricing: $25 per 1K sources.
LLaMA 3 70B
LLaMA 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.
Use Grok 3 or LLaMA 3 70B - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Grok 3 or LLaMA 3 70B - 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 3 or LLaMA 3 70B. No code, no API keys, no deployment.
Switch models without rebuilding
Start on Grok 3, test the same tool on LLaMA 3 70B, 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 3 or LLaMA 3 70B - connected to the tools you already use.
Related comparisons
See how Grok 3 and LLaMA 3 70B stack up against other models in the directory.
FAQs
Pricing models differ: see the full Grok 3 and LLaMA 3 70B pages in the Appaca AI models directory for current pricing details.
Grok 3 has the larger context window at 131.1K tokens, compared to 8.2K tokens for LLaMA 3 70B. 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 3, test the same tool on LLaMA 3 70B, 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 3, LLaMA 3 70B, 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 3 or LLaMA 3 70B
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.