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Nvidia/Llama 3.3 Nemotron Super 49B

Nvidia/Llama 3.3 Nemotron Super 49B is available via Nebius with a 131K context window and up to 131,072 output tokens. Pricing: $0.1000/1M input tokens, $0.4000/1M output tokens.

Nvidia/Llama 3.3 Nemotron Super 49B Pricing & Specifications

Input Price$0.10 per 1M tokens
Output Price$0.40 per 1M tokens
Context Window131,072 tokens (131K)
Max Output131,072 tokens
ProviderNebius

What is Nvidia/Llama 3.3 Nemotron Super 49B?

Nvidia/Llama 3.3 Nemotron Super 49B is a large language model by Nebius with a 131K context window and up to 131,072 output tokens. It costs $0.10 per 1M input tokens and $0.40 per 1M output tokens. Nvidia/Llama 3.3 Nemotron Super 49B is available via Nebius with a 131K context window and up to 131,072 output tokens. Pricing: $0.1000/1M input tokens, $0.4000/1M output tokens.

Capabilities

text function calling

Nvidia/Llama 3.3 Nemotron Super 49B Cost Examples

Short prompt (500 tokens)

$0.000050

Medium prompt (2K tokens)

$0.00020

Long output (4K tokens)

$0.00160

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Frequently Asked Questions

How much does Nvidia/Llama 3.3 Nemotron Super 49B cost per token? +
Nvidia/Llama 3.3 Nemotron Super 49B costs $0.10 per 1M input tokens and $0.40 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.000300.
What is the context window for Nvidia/Llama 3.3 Nemotron Super 49B? +
Nvidia/Llama 3.3 Nemotron Super 49B supports a context window of 131,072 tokens (131K). This determines the maximum combined length of your prompt and conversation history in a single API call.
What is the maximum output length for Nvidia/Llama 3.3 Nemotron Super 49B? +
Nvidia/Llama 3.3 Nemotron Super 49B can generate up to 131,072 tokens in a single response. If you need longer outputs, you can make multiple API calls and concatenate the results.
Is Nvidia/Llama 3.3 Nemotron Super 49B good for coding tasks? +
Yes, Nvidia/Llama 3.3 Nemotron Super 49B supports capabilities well-suited for coding tasks including code generation, debugging, and refactoring.
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