Price Per TokenPrice Per Token
Nvidia
Nvidia
vs
OpenAI
OpenAI

Llama 3.1 Nemotron 70B Instruct vs GPT-5.2-Codex

A detailed comparison of pricing, benchmarks, and capabilities

Get our weekly newsletter on pricing changes, new releases, and tools.

Join the Price Per Token Community

Key Takeaways

Llama 3.1 Nemotron 70B Instruct wins:

  • Cheaper input tokens
  • Cheaper output tokens
  • Better at math

GPT-5.2-Codex wins:

  • Larger context window
  • Faster response time
  • Higher intelligence benchmark
  • Better at coding
  • Supports vision
  • Has reasoning mode
Price Advantage
Llama 3.1 Nemotron 70B Instruct
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

FeatureLlama 3.1 Nemotron 70B InstructGPT-5.2-Codex
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyLlama 3.1 Nemotron 70B InstructGPT-5.2-Codex
LicenseProprietaryProprietary
AuthorNvidiaOpenAI
ReleasedOct 2024Jan 2026

Llama 3.1 Nemotron 70B Instruct Modalities

Input
text
Output
text

GPT-5.2-Codex Modalities

Input
textimage
Output
text

Frequently Asked Questions

Llama 3.1 Nemotron 70B Instruct has cheaper input pricing at $0.88/M tokens. Llama 3.1 Nemotron 70B Instruct has cheaper output pricing at $0.88/M tokens.
GPT-5.2-Codex scores higher on coding benchmarks with a score of 43.0, compared to Llama 3.1 Nemotron 70B Instruct's score of 10.8.
Llama 3.1 Nemotron 70B Instruct has a 131,072 token context window, while GPT-5.2-Codex has a 400,000 token context window.
Llama 3.1 Nemotron 70B Instruct does not support vision. GPT-5.2-Codex supports vision.