Price Per TokenPrice Per Token
Nvidia
Nvidia
vs
OpenAI
OpenAI

Llama 3.3 Nemotron Super 49B V1.5 vs GPT-5.3 Codex

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

Llama 3.3 Nemotron Super 49B V1.5 wins:

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

GPT-5.3 Codex wins:

  • Larger context window
  • Faster response time
  • Higher intelligence benchmark
  • Better at coding
  • Supports vision
Price Advantage
Llama 3.3 Nemotron Super 49B V1.5
Benchmark Advantage
GPT-5.3 Codex
Context Window
GPT-5.3 Codex
Speed
GPT-5.3 Codex

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureLlama 3.3 Nemotron Super 49B V1.5GPT-5.3 Codex
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyLlama 3.3 Nemotron Super 49B V1.5GPT-5.3 Codex
LicenseProprietaryProprietary
AuthorNvidiaOpenAI
ReleasedOct 2025Feb 2026

Llama 3.3 Nemotron Super 49B V1.5 Modalities

Input
text
Output
text

GPT-5.3 Codex Modalities

Input
textimage
Output
text

Frequently Asked Questions

Llama 3.3 Nemotron Super 49B V1.5 has cheaper input pricing at $0.10/M tokens. Llama 3.3 Nemotron Super 49B V1.5 has cheaper output pricing at $0.40/M tokens.
GPT-5.3 Codex scores higher on coding benchmarks with a score of 53.1, compared to Llama 3.3 Nemotron Super 49B V1.5's score of 10.5.
Llama 3.3 Nemotron Super 49B V1.5 has a 131,072 token context window, while GPT-5.3 Codex has a 400,000 token context window.
Llama 3.3 Nemotron Super 49B V1.5 does not support vision. GPT-5.3 Codex supports vision.