CM
Carnegie Mellon University (CMU)
Language model · United States ·Mar 2017

SEST

Language Proprietary

About SEST

SEST is an AI model developed by Carnegie Mellon University (CMU), in the language category, released in 2017, made available as a proprietary (API-only) model.

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

→ More models by Carnegie Mellon University (CMU) → All language models → AI benchmarks leaderboard

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Frequently asked questions

What is SEST? ▶

SEST is an AI model developed by Carnegie Mellon University (CMU), in the language category, released in 2017. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created SEST? ▶

SEST was developed by Carnegie Mellon University (CMU) and released in 2017.

Is SEST open source or proprietary? ▶

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

How much does SEST cost? ▶

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

How does SEST perform on benchmarks? ▶

Benchmark scores for SEST 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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