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HyenaDNA
About HyenaDNA
HyenaDNA is an AI model developed by Stanford University, in the language category, released in 2023, made available as an open-weights model with 0B params.
On this page you'll find HyenaDNA's full specifications. Review provider pricing and benchmark scores below, or compare HyenaDNA head-to-head with other language models.
Links
Run HyenaDNA locally — what to buy
Share this build ↗Sized to what HyenaDNA actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
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Frequently asked questions
What is HyenaDNA? ▶
HyenaDNA is an AI model developed by Stanford University, in the language category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created HyenaDNA? ▶
HyenaDNA was developed by Stanford University and released in 2023.
Is HyenaDNA open source or proprietary? ▶
HyenaDNA ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does HyenaDNA cost? ▶
Pricing for HyenaDNA depends on the provider. See the providers table on this page for the latest API rates.
How does HyenaDNA perform on benchmarks? ▶
Benchmark scores for HyenaDNA 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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