Price Per TokenPrice Per Token
OpenAI
OpenAI
vs
Sao10k

GPT-5.2-Codex vs Llama 3.1 70B Hanami x1

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

GPT-5.2-Codex wins:

  • Cheaper input tokens
  • Larger context window
  • Faster response time
  • Higher intelligence benchmark
  • Better at coding
  • Supports vision

Llama 3.1 70B Hanami x1 wins:

  • Cheaper output tokens
Price Advantage
GPT-5.2-Codex
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

FeatureGPT-5.2-CodexLlama 3.1 70B Hanami x1
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyGPT-5.2-CodexLlama 3.1 70B Hanami x1
LicenseProprietaryOpen Source
AuthorOpenAISao10k
ReleasedJan 2026Jan 2025

GPT-5.2-Codex Modalities

Input
textimage
Output
text

Llama 3.1 70B Hanami x1 Modalities

Input
text
Output
text

Related Comparisons

Compare GPT-5.2-Codex with:

Compare Llama 3.1 70B Hanami x1 with:

Frequently Asked Questions

GPT-5.2-Codex has cheaper input pricing at $1.75/M tokens. Llama 3.1 70B Hanami x1 has cheaper output pricing at $3.00/M tokens.
GPT-5.2-Codex scores higher on coding benchmarks with a score of 43.0, compared to Llama 3.1 70B Hanami x1's score of N/A.
GPT-5.2-Codex has a 400,000 token context window, while Llama 3.1 70B Hanami x1 has a 16,000 token context window.
GPT-5.2-Codex supports vision. Llama 3.1 70B Hanami x1 does not support vision.