NVIDIA: llama-3.3-nemotron-super-49b-v1.5:free

llama-3.3-nemotron-super-49b-v1.5:free
131.1K context131.1K outReasoningToolsStructured
Released Oct 10, 2025Knowledge cutoff 2024Updated Oct 10, 2025

Llama-3.3-Nemotron-Super-49B-v1 is a large language model (LLM) optimized for advanced reasoning, conversational interactions, retrieval-augmented generation (RAG), and tool-calling tasks. Derived from Meta's Llama-3.3-70B-Instruct, it employs a Neural Architecture Search (NAS) approach, significantly enhancing efficiency and reducing memory requirements. This allows the model to support a context length of up to 128K tokens and fit efficiently on single high-performance GPUs, such as NVIDIA H200. Note: you must include detailed thinking on in the system prompt to enable reasoning. Please see Usage Recommendations for more.

Mode chatTokenizer Llama3Quantization fp8nvidia/Llama-3_3-Nemotron-Super-49B-v1_5

Pricing

Input price
$0.00/ 1M tokens
Output price
$0.00/ 1M tokens
Context window 128K tokensCompatible endpoints openaiVendor NVIDIA

Performance

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Usage & Ranking

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Supported parameters

All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.

ParameterProvidersDefault
frequency_penaltyAll providersNot sent by default
include_reasoningAll providers-
logit_biasAll providers-
max_tokensAll providers-
min_pAll providers-
presence_penaltyAll providersNot sent by default
reasoningAll providers-
repetition_penaltyAll providersNot sent by default
response_formatAll providers-
seedAll providers-
stopAll providers-
temperatureAll providers0.6
tool_choiceAll providers-
toolsAll providers-
top_kAll providersNot sent by default
top_pAll providers0.95

Frequently asked questions

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