GPT-5.2 Codex vs LLaMA 3 8B
Compare GPT-5.2 Codex and LLaMA 3 8B. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.2 Codex | LLaMA 3 8B |
|---|---|---|
| Provider | OpenAI | Meta |
| Model Type | text | text |
| Context Window | 400,000 tokens | 8,192 tokens |
| Input Cost | $1.75/ 1M tokens | N/A |
| Output Cost | $14.00/ 1M tokens | N/A |
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Strengths & Best Use Cases
GPT-5.2 Codex
OpenAI1. Optimized for Long-Horizon Coding Tasks
- OpenAI describes GPT-5.2 Codex as a highly intelligent coding model built for long-horizon, agentic coding work.
- Well suited to planning, refactoring, debugging, and multi-step implementation flows inside real codebases.
2. Adjustable Reasoning for Coding Work
- Supports configurable reasoning effort from low to xhigh depending on speed and quality needs.
- Accepts both text and image inputs while producing text output.
3. Large Context + Long Output
- 400 k token context window supports broad repository understanding and larger working sets.
- Allows up to 128 k output tokens for longer patches, code generation, and technical explanations.
4. Up-to-Date Model Snapshot
- Knowledge cut-off of Aug 31 2025 keeps it current with newer tools and frameworks.
- Supports streaming, function calling, and structured outputs for tool-driven coding workflows.
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 GPT-5.2 Codex
textProfessional Email Rewriter
Rewrite your rough drafts into polished, professional emails suitable for any business context.
Cold Outreach Email Generator
Generate high-converting cold emails for sales, networking, or partnerships.
Code Generator
Generate efficient, documented, and bug-free code snippets in any programming language.
Best for LLaMA 3 8B
textData-Driven Infographics (Trends + Insights)
Create a plan for data-driven infographics that communicate trends and persona insights while reinforcing your USP’s impact on challenges.
Learning Objectives Generator
Create clear, measurable learning objectives aligned to standards using Blooms Taxonomy action verbs.
Content Hub (Central Resource Library)
Create a website content hub that centralizes resources related to persona challenges and positions your USP as the solution.