magpie-tts-zeroshot via Nvidia
Specifications
Context Window
N/A
Release Date
2025-05-22
Capabilities
AttachmentsAudio inputAudio output
Availability
Open Weights
Model Overview
NVIDIA provides AI inference through their NIM (NVIDIA Inference Microservices) platform, offering optimized access to both NVIDIA-developed and popular open-source models on their GPU infrastructure.
magpie-tts-zeroshot is a model by Nvidia and up to 4k output tokens. It is priced at $0.00/1M input tokens and $0.00/1M output tokens.
Key capabilities include: attachments, audio input, audio output.
Details
ProviderNvidia
Model IDnvidia/magpie-tts-zeroshot
FamilyN/A
Release Date2025-05-22
Last Updated2025-06-12
Knowledge CutoffN/A
Context WindowN/A
Max Output4,096 tokens
Input Cost / 1M$0.00
Output Cost / 1M$0.00
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Frequently Asked Questions
How much does magpie-tts-zeroshot cost to use?
magpie-tts-zeroshot is priced at $0.00/1M input tokens and $0.00/1M output tokens. Use the cost estimator on this page to calculate your expected spend based on your usage pattern.
What is a token and how does it relate to pricing?
A token is a chunk of text — roughly ¾ of a word in English. For example, "chatbot" is two tokens. LLM API pricing is based on the number of tokens you send (input) and receive (output). Input tokens include your prompts, uploaded documents, and images, while output tokens are the model's generated responses.
Why are input and output tokens priced differently?
LLM providers charge separately for input and output tokens. Output tokens are typically more expensive because generating each token requires more compute — the model must run a full forward pass for every token it produces, while input tokens are processed in parallel.
What is the context window of magpie-tts-zeroshot?
The context window information for magpie-tts-zeroshot is not currently available. Check the provider's documentation for the latest specifications.
How accurate is this cost estimation?
This tool provides a ballpark estimate based on per-token pricing. Actual costs may differ due to prompt caching, batched API calls, volume discounts, reasoning token overhead, and provider-specific billing rules. Use it for budgeting and comparison, not as an invoice prediction.
How does magpie-tts-zeroshot pricing compare to other models?
You can compare magpie-tts-zeroshot with other models on our LLM API pricing calculator. Use the cost estimator to see side-by-side cost breakdowns across different providers and models to find the best fit for your budget and requirements.
What factors affect my total API cost?
Your total cost depends on several factors: the number of API calls you make, the length of your prompts (input tokens), the length of generated responses (output tokens), whether you use features like image or document uploads (which add input tokens), and any provider-specific charges for caching or batch processing.
How can my team use magpie-tts-zeroshot via API?
You can connect your own Nvidia API key and give your entire team access to magpie-tts-zeroshot through TypingMind Teams. It lets you build a unified AI workspace where team members can use magpie-tts-zeroshot and other models — without needing their own API keys. You stay in control of usage limits, costs, and permissions, all from a single dashboard.
