Llama 3.3 Nemotron Super 49B V1.5

NVIDIA API model specs with normalized input price, output price, context window, sample workload cost, and related comparisons.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget brief

Llama 3.3 Nemotron Super 49B V1.5 is estimated at $0.6 for the standard workload.

Llama 3.3 Nemotron Super 49B V1.5 is best suited for general API evaluation. A 1M input token plus 500K output token workload is estimated at $0.6.

Input price$0.4per 1M tokens
Output price$0.4per 1M tokens
Context window131.07Kreported maximum
Popularity#20970.4M tokens signal volume

Use this as a first-pass planning estimate, then verify provider limits, routing, discounts, and availability before production deployment.

Model Specs
ProviderNVIDIA
Model IDnvidia/llama-3.3-nemotron-super-49b-v1.5
Prompt Price
per 1M tokens
$0.4
Completion Price
per 1M tokens
$0.4
Sample Workload Cost
1M input + 500K output
$0.6
Context Window131.07K
Release Date
Popularity#209
Popularity Signal70.4M tokens

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Prices are normalized to USD per 1M tokens.
Llama 3.3 Nemotron Super 49B V1.5 Calculating… Estimated monthly API cost
Unit prices $0.4 input / $0.4 output Per 1M tokens

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Alternative path

Alternative Shortlist

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Use these rows to build a test shortlist around Llama 3.3 Nemotron Super 49B V1.5. Lower cost, same-provider fit, and larger context are separate decisions, so each group is ranked by a different signal.

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Same-provider swaps

Lower-cost options from the same provider, useful when account setup or procurement is already fixed.

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Model Introduction

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 SFT across math, code, science, and...

Best Fit

Llama 3.3 Nemotron Super 49B V1.5 is best suited for general API evaluation.

Cost Example

A 1M input token plus 500K output token workload is estimated at $0.6.

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