UO
University of Alberta
Multimodal model · United States ·Jan 2017

DeepStack

Multimodal Proprietary
2.5M
Parameters

About DeepStack

DeepStack is an AI model developed by University of Alberta, in the multimodal category, released in 2017, made available as a proprietary (API-only) model with 0B params.

On this page you'll find DeepStack's full specifications. Review provider pricing and benchmark scores below, or compare DeepStack head-to-head with other multimodal models.

→ More models by University of Alberta → All multimodal models → AI benchmarks leaderboard

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Frequently asked questions

What is DeepStack? ▶

DeepStack is an AI model developed by University of Alberta, in the multimodal category, released in 2017. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created DeepStack? ▶

DeepStack was developed by University of Alberta and released in 2017.

Is DeepStack open source or proprietary? ▶

DeepStack is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does DeepStack cost? ▶

Pricing for DeepStack depends on the provider. See the providers table on this page for the latest API rates.

How does DeepStack perform on benchmarks? ▶

Benchmark scores for DeepStack are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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