Price Per TokenPrice Per Token
Meta-llama
Meta-llama
vs
OpenAI
OpenAI

Code Llama 13B vs GPT-5.2-Codex

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

Code Llama 13B wins:

  • Cheaper input tokens
  • Cheaper output tokens

GPT-5.2-Codex wins:

  • Larger context window
  • Faster response time
  • Higher intelligence benchmark
  • Better at coding
  • Supports vision
  • Has reasoning mode
  • Supports tool calls
Price Advantage
Code Llama 13B
Benchmark Advantage
GPT-5.2-Codex
Context Window
GPT-5.2-Codex
Speed
GPT-5.2-Codex

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureCode Llama 13BGPT-5.2-Codex
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyCode Llama 13BGPT-5.2-Codex
LicenseOpen SourceProprietary
AuthorMeta-llamaOpenAI
ReleasedUnknownJan 2026

Code Llama 13B Modalities

Input
Output

GPT-5.2-Codex Modalities

Input
textimage
Output
text

Frequently Asked Questions

Code Llama 13B has cheaper input pricing at $0.20/M tokens. Code Llama 13B has cheaper output pricing at $0.20/M tokens.
Code Llama 13B has a 16,384 token context window, while GPT-5.2-Codex has a 400,000 token context window.
Code Llama 13B does not support vision. GPT-5.2-Codex supports vision.