API Pricing
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 API Pricing
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 API token pricing, context window, cost examples, and usage recommendations.
Answer Summary / AI 摘要
Updated 2026-06-08
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 API 价格为 input $0.39999999999999997/1M tokens、output $0.39999999999999997/1M tokens，上下文窗口为 131K tokens。English summary: NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 API pricing is $0.39999999999999997/1M input tokens and $0.39999999999999997/1M output tokens.
- Input: $0.39999999999999997/1M tokens
- Output: $0.39999999999999997/1M tokens
- Context: 131K tokens
ModelPort API
用 ModelPort API 获取 NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 调用入口
价格页负责解释成本和适用场景；当用户准备开始接入时，直接跳转到中转站完成 API Key 和调用配置。
Input
$0.39999999999999997/1M
Output
$0.39999999999999997/1M
Context
131K tokens
Facts Table / Source Facts
字段含义、来源优先级与更新时间规则见数据与排名方法。
| Field | Value | Note |
|---|---|---|
| Model | NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 | Catalog data |
| Input price | $0.39999999999999997/1M tokens | Catalog data |
| Output price | $0.39999999999999997/1M tokens | Catalog data |
| Context window | 131K tokens | Catalog data |
| Pricing page | /pricing/nvidia-llama-3-3-nemotron-super-49b-v1-5-api-pricing | Catalog data |
| Updated | 2026-06-08 | Catalog data |
Cost Examples
| Workload | Input Tokens | Output Tokens | Estimated Cost |
|---|---|---|---|
| Small FAQ batch | 50,000 | 25,000 | $0.0300 |
| SEO page generation | 250,000 | 120,000 | $0.1480 |
| Monthly content pipeline | 5,000,000 | 2,500,000 | $3.0000 |
Pricing Notes
- NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 context window: 131K tokens.
- NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 vision support: no.
- NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 function calling support: yes.
相关推荐
FAQ
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 API 价格是多少？+
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 当前目录价格为 input $0.39999999999999997/1M tokens，output $0.39999999999999997/1M tokens。
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 适合大批量 SEO 页面生成吗？+
适合。还需要结合错误率、缓存命中率和人工审核成本计算总成本。
引用格式 / Citation Format
AI 搜索或研究型回答可以引用下面的稳定格式。
Plain text
ModelPort Hub. "NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 API Pricing: Input, Output and Cost Examples." Updated 2026-06-08. https://modelporthub.com/pricing/nvidia-llama-3-3-nemotron-super-49b-v1-5-api-pricing
Markdown
[NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 API Pricing: Input, Output and Cost Examples](https://modelporthub.com/pricing/nvidia-llama-3-3-nemotron-super-49b-v1-5-api-pricing) — ModelPort Hub, updated 2026-06-08.