Skip to content
Alpha
  • Models
  • Rankings
  • Ori

Footer

OpenRouterOpenRouter
© 2026 OpenRouter, Inc

Product

  • Chat
  • Rankings
  • Benchmarks
  • Apps
  • Discover
  • Models
  • Ori
  • Collections
  • Providers
  • Tools
  • Pricing
  • Business
  • EU routing
  • Enterprise
  • Labs

Company

  • About
  • Blog
  • Careers
    Hiring
  • Privacy
  • Terms of Service
  • Trust Center
  • Support
  • Works With OR
  • Data
  • Brand

Developer

  • Documentation
  • API Reference
  • Developer Platform
  • Status
  • AI Site Map

Connect

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube
  1. Home
  2. /
  3. Compare

Llama 3.3 Nemotron Super 49B V1.5 vs GPT-5.1-Codex-Max

Compare Llama 3.3 Nemotron Super 49B V1.5 from Nvidia and GPT-5.1-Codex-Max from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.

Favicon for nvidia
Llama 3.3 Nemotron Super 49B V1.5
Favicon for openai
GPT-5.1-Codex-Max
Favicon for nvidia
Llama 3.3 Nemotron Super 49B V1.5
Favicon for openai
GPT-5.1-Codex-Max

Overview

Llama 3.3 Nemotron Super 49B V1.5
Author
Nvidia
GPT-5.1-Codex-Max
Author
OpenAI
Llama 3.3 Nemotron Super 49B V1.5
Context length
131Ktokens
GPT-5.1-Codex-Max
Context length
400Ktokens
Llama 3.3 Nemotron Super 49B V1.5
Reasoning
GPT-5.1-Codex-Max
Reasoning
Llama 3.3 Nemotron Super 49B V1.5
Input modalities
GPT-5.1-Codex-Max
Input modalities
Llama 3.3 Nemotron Super 49B V1.5
Output modalities
GPT-5.1-Codex-Max
Output modalities

Llama 3.3 Nemotron Super 49B V1.5 vs GPT-5.1-Codex-Max: side-by-side summary

Llama 3.3 Nemotron Super 49B V1.5 and GPT-5.1-Codex-Max are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.

Llama 3.3 Nemotron Super 49B V1.5, from Nvidia, has a 131,072-token context window and is priced by the provider serving it on OpenRouter.

GPT-5.1-Codex-Max, from OpenAI, has a 400,000-token context window and is priced at $1.25/M tokens input, $10/M tokens output on OpenRouter.

Context window
  • Llama 3.3 Nemotron Super 49B V1.5: 131,072 tokens
  • GPT-5.1-Codex-Max: 400,000 tokens
Price
  • Llama 3.3 Nemotron Super 49B V1.5: Pricing varies by provider
  • GPT-5.1-Codex-Max: $1.25/M tokens input, $10/M tokens output
Provided by
  • Llama 3.3 Nemotron Super 49B V1.5: Nvidia
  • GPT-5.1-Codex-Max: OpenAI
  • Llama 3.3 Nemotron Super 49B V1.5 model details, providers and pricing
  • GPT-5.1-Codex-Max model details, providers and pricing

Llama 3.3 Nemotron Super 49B V1.5 vs GPT-5.1-Codex-Max at a glance

Llama 3.3 Nemotron Super 49B V1.5 vs GPT-5.1-Codex-Max comparison
AttributeLlama 3.3 Nemotron Super 49B V1.5GPT-5.1-Codex-Max
Input pricePricing varies by provider$1.25/M tokens
Output pricePricing varies by provider$10/M tokens
Context window131,072 tokens400,000 tokens
Intelligence Index9.0Not available
Coding IndexNot availableNot available
Agentic IndexNot availableNot available
Latency (p50)Not available2.34 s
Throughput (p50)Not available52.0 tok/s

Benchmark data updated Oct 5, 2026

Frequently asked questions

Which has the longer context window, Llama 3.3 Nemotron Super 49B V1.5 or GPT-5.1-Codex-Max?

GPT-5.1-Codex-Max has the longer context window at 400,000 tokens, compared with 131,072 tokens for Llama 3.3 Nemotron Super 49B V1.5.