Price Per TokenPrice Per Token
Nvidia
Nvidia
vs
OpenAI
OpenAI

Nemotron Nano 9B V2 vs GPT-5.2-Codex

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

Nemotron Nano 9B V2 wins:

  • Cheaper input tokens
  • Cheaper output tokens
  • Faster response time
  • Better at math

GPT-5.2-Codex wins:

  • Larger context window
  • Higher intelligence benchmark
  • Better at coding
  • Supports vision
Price Advantage
Nemotron Nano 9B V2
Benchmark Advantage
GPT-5.2-Codex
Context Window
GPT-5.2-Codex
Speed
Nemotron Nano 9B V2

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureNemotron Nano 9B V2GPT-5.2-Codex
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyNemotron Nano 9B V2GPT-5.2-Codex
LicenseOpen SourceProprietary
AuthorNvidiaOpenAI
ReleasedSep 2025Jan 2026

Nemotron Nano 9B V2 Modalities

Input
text
Output
text

GPT-5.2-Codex Modalities

Input
textimage
Output
text

Frequently Asked Questions

Nemotron Nano 9B V2 has cheaper input pricing at $0.04/M tokens. Nemotron Nano 9B V2 has cheaper output pricing at $0.16/M tokens.
GPT-5.2-Codex scores higher on coding benchmarks with a score of 43.0, compared to Nemotron Nano 9B V2's score of 7.5.
Nemotron Nano 9B V2 has a 131,072 token context window, while GPT-5.2-Codex has a 400,000 token context window.
Nemotron Nano 9B V2 does not support vision. GPT-5.2-Codex supports vision.