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Core routes

Keep clicks and crawl depth focused on the few pages that resolve intent fastest.

Already holding a key? Check it first, then keep reading.
Confirm ownership, visible models, and resale signals before deciding whether models, pricing, protocols, or providers matter next.
Model catalog profile

NVIDIA: Llama 3.3 Nemotron… | pricing profile

Start with NVIDIA: Llama 3.3 Nemotron… input $0.10, output $0.40, context 131,072, and provider NVIDIA, then decide whether this pricing path is worth exploring further.

Provider
NVIDIA
11 models in catalog
Context
131,072
global model route
Input
$0.10
USD / 1M tokens
Output
$0.40
USD / 1M tokens

What this page answers

Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via S

  • NVIDIA · nvidia/llama-3.3-nemotron-super-49b-v1.5
  • text->text · global model route
  • 131,072 context · $0.10 input

Before connecting

Do not stop at the model name. Before integration, verify base URL, protocol, visible models, parameters, and limits together.

  • supports frequency_penalty
  • supports include_reasoning
  • supports max_tokens
  • supports min_p
  • supports presence_penalty

Next action

After this page, the usual next step is to open the model profile, the provider profile, or run a key check to confirm the real callable range.

  • Check whether the model fits the use case
  • Then verify key permission and callable models