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LLM ComparisonGPT-5.3 CodexLLaMA 3 8B

GPT-5.3 Codex vs LLaMA 3 8B

Compare GPT-5.3 Codex and LLaMA 3 8B. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.3 CodexLLaMA 3 8B
ProviderOpenAIMeta
Model Typetexttext
Context Window400,000 tokens8,192 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-5.3 Codex

OpenAI

1. Strongest Codex Model for Agentic Engineering

  • OpenAI positions GPT-5.3 Codex as its most capable agentic coding model to date.
  • Built for long-horizon software engineering tasks that require planning, iteration, and reliable code transformation across files.

2. Configurable Reasoning + Multimodal Input

  • Supports configurable reasoning effort from low to xhigh so teams can trade off depth against latency.
  • Accepts both text and image inputs while producing text output.

3. Large Context for Real Codebases

  • 400 k token context window helps it work across larger repositories, implementation plans, and supporting documentation.
  • Allows up to 128 k output tokens for longer code generations, patches, and technical write-ups.

4. Current Knowledge for Modern Dev Workflows

  • Knowledge cut-off of Aug 31 2025 keeps it aligned with newer frameworks, libraries, and tooling.
  • Supports streaming, function calling, and structured outputs for agent-style coding workflows.

LLaMA 3 8B

Meta

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.

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